26-29.06.2023

26-29.06.2023

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Lista artykułów opublikowanych w materiałach konferencji XXI Polish Control Conference

Wszystkie artykuły ukazały się nakładem wydawnictwa Springer w cyklu "Lecture Notes in Networks and Systems", vol. 708 i 709.  Tytuł publikacji to "Advanced, Contemporary Control. Proceedings of the XXI Polish Control Conference, Gliwice, Poland, 2032. Volume 1" (DOI: 10.1007/978-3-031-35170-9) i  "Advanced, Contemporary Control. Proceedings of the XXI Polish Control Conference, Gliwice, Poland, 2032. Volume 2" (DOI: 10.1007/978-3-031-35173-0).

 

 

Title Author Cite as: Pages
Identification of Magnetorheological Damper Model for Off-Road Vehicle Suspension Piotr Krauze,Marek Płaczek,Zbigniew Żmudka,Dawid Bauke,Przemysław Olszówka,Jakub Turek,Artur Wyciślok,Maciej Ziaja,Szymon Zosgórnik,Wojciech Janusz,Grzegorz Przybyła,Michał Wychowański Krauze, P. et al. (2023). Identification of Magnetorheological Damper Model for Off-Road Vehicle Suspension. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 708. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35170-9_16 Pages 173-182
Abstract:
The article presents results of experimental identification of MR (magnetorheological) damper model for an off-road vehicle. Original shock-absorbers of the vehicle were replaced by suspension MR dampers supplied by a dedicated measurement and control system. The vehicle includes several sensors which allow to observe electric currents controlling MR dampers, forces generated in the front vehicle suspension columns and other sensors which measure deflection of these suspension parts. The front part of the semi-active suspension was tested using laboratory setup with vibration mechanical exciters generating sinusoidally variable excitation at frequency equal to 12 Hz. MR dampers were directly controlled by peripheral electronic units generating different constant currents equal to 0, 0.11 and 0.37 A. As a result, evaluated force-velocity characteristics and analysis of MR damper behaviour in the target vehicle were carried out. Further steps of analysis included mathematical description of the selected MR damper using several types of MR damper models, i.e.: Bingham and hyperbolic tangent function models as well as their variants including first-order output dynamics. It was shown that the dynamic model based on hyperbolic tangent function offers the best fitness to the response of the actual MR damper with respect to the mean-squared error.
Modeling of Thermal Processes in a Microcontroller System with the Use of Hybrid, Fractional Order Transfer Functions Krzysztof Oprzędkiewicz,Maciej Rosół,Wojciech Mitkowski Oprzędkiewicz, K., Rosół, M., Mitkowski, W. (2023). Modeling of Thermal Processes in a Microcontroller System with the Use of Hybrid, Fractional Order Transfer Functions. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 708. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35170-9_15 Pages 158-172
Abstract:
In the paper the problem of modeling of thermal processes in microcontroller system is addressed. The proposed models allow to describe thermal processes during work of an evaluation system. The temperature in critical places of the system is measured using thermal camera. The proposed models have the form of hybrid transfer functions, containing both Integer Order (IO) and Fractional Order (FO) parts. The step responses of the proposed transfer functions are computed analytically. Results of experiments show that the proposed models are more accurate in the sense of Mean Square Error (MSE) cost function than typical transfer function models with delay. The proposed models can be applied to predict of overheating of microcotroller systems.
Development of an “Artificial Lung” System for Use in Indoor Air Quality Testing Andrzej Kozyra,Aleksandra Lipczyńska,Piotr Koper,Radosław Babisz,Damian Madej,Konrad Nowakowski,Jakub Karwatka,Dominik Tomczok Kozyra, A. et al. (2023). Development of an “Artificial Lung” System for Use in Indoor Air Quality Testing. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 708. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35170-9_13 Pages 135-144
Abstract:
“Artificial lung” is a device that simulates breathing process of occupants in a room. This allows you to safely test, e.g., the impact of HVAC systems on the spread of pathogens. The paper describes the concept of the device, its construction and performed tests. The project was implemented by students of two faculties: Automatic Control, Electronics and Computer Science, and Energy and Environmental Engineering. Project supervisors from both faculties provided substantive supervision and support for students.
Development and Testing of the RFID Gripper Prototype for the Astorino Didactic Robot Adrian Kampa,Krzysztof Foit,Agnieszka Sękala,Jakub Kulik,Krzysztof Łukowicz,Miłosz Mróz,Julia Nowak,Marek Witański,Patryk Żebrowski,Tomasz Błaszczyk,Dariusz Rodzik Kampa, A. et al. (2023). Development and Testing of the RFID Gripper Prototype for the Astorino Didactic Robot. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 708. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35170-9_12 Pages 123-134
Abstract:
The rapid development of robotics creates the need for systematic training and professional competence of workers, which caused many projects of teaching robots to be developed. Industrial robots are versatile manipulation machines, but they need appropriate tools and workstation equipment to perform their tasks. As part of the student PBL (Project Based Learning) project, a concept was developed and a prototype teaching workstation containing the Astorino educational robot with equipment was made. Elements of the workstation’s equipment enable the demonstration of selected capabilities of Industry 4.0, such as the Internet of Things and systems allowing RFID wireless identification of manipulated objects, among others. As part of the PBL project, gripper jaws integrated with an RFID sensor were developed, and identification range tests were conducted for different gripper configurations and manipulated objects with different types of RFID labels. The results show that the tested labels have a small read range of about 20–40 mm, which is related to the limitations of the 13.56 MHz HF RFID technology used, as well as the dimensions of the labels and the materials used. This parameter is of great importance in determining the applicability of RFID labels, so the results of the study will be used for further development work on RFID grippers.
Creep Testing Machine Identification for Power System Load Optimization Michał Szulc,Jerzy Kasprzyk,Jacek Loska Szulc, M., Kasprzyk, J., Loska, J. (2023). Creep Testing Machine Identification for Power System Load Optimization. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 708. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35170-9_11 Pages 113-122
Abstract:
This paper presents the results of an identification study of a three-zone furnace of a single-sample creep testing machine. The steps leading to obtaining a model are described, including: preparation of the test stand, determination of parameters of the identification experiment, identification of the dominant disturbances, selection of excitation signal, selection of model structure, validation of the obtained results, and analysis of possible nonlinearities. The description of the research includes information on the applied software compensator for disturbances caused by changes in the supply voltage, with the help of which they were reduced to a level that made it possible to conduct identification experiments. A model with three inputs and three outputs was identified as a MIMO, MISO and SISO structure. The advantages and disadvantages of each of these solutions are presented. The model was validated using step response experiments. The paper also presents a method for including static nonlinearity in the model.
Recent Advances in Artificial Autonomous Decision Systems and Their Applications Andrzej M. J. Skulimowski,orcid.org/0000-0003-0646-2858,Inez Badecka,orcid.org/0000-0001-9852-6681,Masoud Karimi,orcid.org/0000-0002-0770-1796,Paweł Łydek,orcid.org/0000-0001-9077-4998,Przemysław Pukocz,orcid.org/0000-0002-0702-5505 Skulimowski, A.M.J., Badecka, I., Karimi, M., Łydek, P., Pukocz, P. (2023). Recent Advances in Artificial Autonomous Decision Systems and Their Applications. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 708. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35170-9_14 Pages 145-157
Abstract:
This article presents the methodological background and an overview of recent applications of artificial autonomous decision systems (AADS), endowed with intelligent coordination algorithms. The research results comprise modelling the decision-making processes in autonomous anticipatory systems, specifically the decisions made in teams composed of robots and humans. These can be modelled as timed anticipatory networks. We present selected real-life applications of anticipatory decision support methods, such as industrial safety management systems and coordination of ground unmanned autonomous robot teams. New algorithms have been proposed to solve multicriteria combinatorial optimization problems that occur when selecting safety strategies, such as AADS evacuation from endangered areas. Decision analytics, based on reference sets, is proposed to solve optimal supervisory control problems related to coordinated autonomous robot deployment. Finally, we discuss the scenarios of future research on AADS and their applications in developing decision algorithms for teams of autonomous harvesting robots or robotic inspection of large industrial plants.
Earned Value Method in Public Project Monitoring V. M. Molokanova Molokanova, V.M. (2023). Earned Value Method in Public Project Monitoring. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 708. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35170-9_9 Pages 86-102
Abstract:
The article provides an overview of project management development based on the earned value method at the present time. A separate discussion of the main factors related to the use of the earned value analysis in the management of public projects. The article considers the vision in the project management model of two issues: planning models and development models based on factual results. It gives the opportunity to show the project state at an early stage, and explain the core rules for possible management. The methodology of the implementation of an innovative project’s portfolio was initiated based on the analysis of actual demonstrations of the portfolio components, the earned value method, and forecasting costs for existing project groups. The proposed methodology allowed us to obtain good results for developing public project management. Approbation was carried out at the enterprise of LLC “CI-Center” (Dnipro, Ukraine). The obtained results allow for strengthening the method of informing about the introduction of the portfolio and constant adjustment based on the choice of possible ways of further development. A dynamic model of project management, planning, monitoring, and implementation of projects has been proposed for use.
A Tube-Based MPC Structure for Fractional-Order Systems Stefan Domek,orcid.org/0000-0002-4056-5175 Domek, S. (2023). A Tube-Based MPC Structure for Fractional-Order Systems. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 708. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35170-9_10 Pages 103-112
Abstract:
In the paper a new structure to improve the robustness of Fractional-Order Model Predictive Control (FOMPC) are proposed. The method based on the modified Model Following Control (MFC) idea, with the Internal Model Control (IMC) concept, introduced by Skoczowski and Domek in []. This leads to a novel, tube-based fractional-order robust predictive control structure, named TFOMPC, which offer an additional degree of freedom in tuning a control loop for higher efficiency. It seems that the proposed TFOMPC approach has potentially great advantages, is simple to implement and easy to tune. Thanks to this, it can be used in many control systems of difficult, inaccurately identified objects, not only of a fractional-order.
A Majorization-Minimization Algorithm for Optimal Sensor Location in Distributed Parameter Systems Dariusz Uciński Uciński, D. (2023). A Majorization-Minimization Algorithm for Optimal Sensor Location in Distributed Parameter Systems. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 708. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35170-9_8 Pages 76-85
Abstract:
The wide availability of effective and efficient convex optimization algorithms makes convex relaxation of optimum sensor location problems enjoy high popularity. The main drawback of this approach, however, is that the performance gap between the optimal solution of the original combinatorial problem and the heuristic solution of the corresponding relaxed continuous problem can hardly be neglected. As a countermeasure, the original design criterion is often extended by addition of some kind of sparsity-enforcing penalty term. Unfortunately, the appealing problem convexity is then lost and the question of how to control the influence of this penalty so as not to excessively deteriorate the optimal relaxed solution remains open. This is why an alternative problem formulation is proposed here, in which the sparsity-promoting term is directly minimized subject to the constraint that the efficiency of the sensor configuration with respect to the employed design criterion is no less than an arbitrarily set threshold. This brings the degree of optimality of the produced solution under direct control. An efficient majorization-minimization algorithm is then employed in combination with generalized simplicial decomposition to produce sparse relaxed solutions. The attendant computations boil down to solving a sequence of low-dimensional convex optimization problems, which constitutes a clear advantage of the proposed technique.
Calculation Method of the Centrifugal Pump Flow Rate Based on Its Nominal Data and Pump Head Increase Uliana Nykolyn,Petro Nykolyn Nykolyn, U., Nykolyn, P. (2023). Calculation Method of the Centrifugal Pump Flow Rate Based on Its Nominal Data and Pump Head Increase. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 708. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35170-9_7 Pages 69-75
Abstract:
It has been developed the method to calculate the volumetric flow rate for an energy audit investigation of centrifugal pumps with electric drives based on a previously created mathematical model using the principles of electrohydraulic analogy. The energy efficiency of the centrifugal pump was assessed through the implementation of an informative parameter - the load angle. This angle characterizes the operation mode of the power unit. The flow rate of the centrifugal pump due to the head gradient is calculated. The mutual dependence of the pump load angle on its volumetric flow rate is shown. This approach makes it possible to reduce financial costs and technically simplifies the energy audit, as there is no need to purchase an ultrasonic flow meter and its installation. The head characteristics of one of the centrifugal pumps were constructed using the proposed method. In addition, the developed method makes it possible to evaluate the energy efficiency of centrifugal pumps of small and medium power.
Aspects of Measurement Data Acquisition and Optimisation in the Energy Transformation of Industrial Facilities Lukasz Korus,Andrzej Jabłoński Korus, L., Jabłoński, A. (2023). Aspects of Measurement Data Acquisition and Optimisation in the Energy Transformation of Industrial Facilities. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 708. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35170-9_4 Pages 39-48
Abstract:
This article deals with the problem of energy management, understood as the effort to minimise the energy consumption in the industrial facilities by continuous improvement approach. Due to the fact that multi-level Decentralised Control Systems (DCS), with the main focus on optimising energy consumption in small and medium enterprises are still rarely used, the continuous improvement approach based on Deming-like cycle using data collected by Data Acquisition and Presentation Systems from measuring devices is often used in practice. This paper presents a high-level process used in companies to drive energy management in an efficient way, and the main objectives defined for such an approach. It also provides more practical information on infrastructure configurations, IT components and applications of data collection and presentation systems.
Continuous-Time Dynamic Model Identification Using Binary-Valued Observations of Input and Output Signals Jarosław Figwer Figwer, J. (2023). Continuous-Time Dynamic Model Identification Using Binary-Valued Observations of Input and Output Signals. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 708. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35170-9_5 Pages 49-58
Abstract:
In the paper an approach to the identification of linear continuous-time dynamic systems based on acquired binary-valued observations of their input and output signals is presented. In the presented approach the binary-valued observations are interpreted as disturbed measurements of the corresponding original continuous-time input and output signals and system models are estimated using classical linear dynamic system estimation methods. The properties of such the approach are illustrated with three simulation examples. In these examples, frequency responses are identified using the empirical transfer function estimator, parametric models are recovered from the frequency responses identified, and finally, parametric models are identified directly from the binary-valued observations acquired.
Verification of a Building Simulator in Real Experiments Karol Jabłoński,Dariusz Bismor Jabłoński, K., Bismor, D. (2023). Verification of a Building Simulator in Real Experiments. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 708. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35170-9_3 Pages 27-38
Abstract:
The increase of energy prices has a substantial influence on the need of development of efficient control algorithms for the HVAC systems. However, testing of such algorithms in real buildings is usually expensive due to long time constants and unpredictable and unrepeatable weather conditions. Therefore, building simulation software plays an important role in the process. In this paper, the design of a building HVAC system simulator developed within the “Stiliger” project is presented. The simulator operates based on the data including all the necessary building construction details. The paper compares the results of the simulations with the measurements on a real, existing building, which was modeled. The comparison shows good agreement of the indoor temperatures in the simulation and in the real building.
On Mikhailov Stability Conditions for a Class of Integer- and Commensurate Fractional-Order Discrete-Time Systems Rafał Stanisławski,Marek Rydel Stanisławski, R., Rydel, M. (2023). On Mikhailov Stability Conditions for a Class of Integer- and Commensurate Fractional-Order Discrete-Time Systems. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 708. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35170-9_2 Pages 16-26
Abstract:
The Mikhailov stability condition is a classical stability test for continuous-time systems, similar to the well-known Nyquist method. However, in contrast to the Nyquist criterion, the Mikhailov stability tests do not reach considerable research attention. This paper introduces an extension of Mikhailov stability condition for two classes of a discrete-time system in terms of linear time-invariant system, and fractional-order one based on ‘forward-shifted’ Grünwald-Letnikov difference. Simulation experiments confirm the usefulness of the Mikhailov methods for stability analysis of discrete-time systems.
Development of Information Technologies for the Research of Technical Systems S. Y. Liaskovska,Y. V. Martyn Liaskovska, S.Y., Martyn, Y.V. (2023). Development of Information Technologies for the Research of Technical Systems. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 708. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35170-9_1 Pages 3-15
Abstract:
Information technology is rapidly developing and finding practical applications in various fields of human activity. Relevant is the study of technical systems. The final functional action of most of them is the delivery of a formed signal and, accordingly, a mechanical action on the object. The study consists of two parts: information technology and an executive mechanism. These components combine two main conditions: stability and functionality in operation. A rational choice of the parameters of the components is a common requirement for ensuring their stability and functionality. Modeling is used to fulfill this requirement [–]. In the process of studying technical systems using the created model, the interaction of various parameters is taken into account, which determines the overall stability of the operation and the efficiency of the given mode of operation of the system. It should be noted that solutions to most problems are visualized by graphical dependencies. Visualization and study of complex and simple functional dependencies in multidimensional spaces of models of multiparametric systems, which include technical systems, are reduced to formalized geometric operations on a variety of surfaces and hypersurfaces that represent geometric models of these dependencies [–]. The nonlinearity of the parameters that are part of the coefficients of various equations requires the use of tools that are effective for studying a particular class of systems.
Time Series Identification Using Monte Carlo Method Teresa Główka Główka, T. (2023). Time Series Identification Using Monte Carlo Method. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 708. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35170-9_6 Pages 59-68
Abstract:
This paper focuses on time series (namely autoregressive, moving-average, and autoregressive-moving-average) models identification using one of the most universal Monte Carlo method, the Metropolis-Hasting algorithm. Theoretical formulation of a problem as well as some identification results are given.
Modeling of Biotechnological Processes During the Cultivation of Medicinal Plants In Vitro Romana Petrina,Olena Fedorova,Viktoriia Havryliak Petrina, R., Fedorova, O., Havryliak, V. (2023). Modeling of Biotechnological Processes During the Cultivation of Medicinal Plants In Vitro. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 709. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35173-0_15 Pages 148-154
Abstract:
Medicinal plant extracts are used in medicinal, cosmetic and health products. Excessive use, indiscriminate collection, and habitat destruction affect population reduction, species diversity, and growth rates. The application of the biotechnological method of tissue culture is proposed for the preservation of biodiversity. Water, ethanol, ethyl acetate, acetone, and petroleum ether were selected to extract callus biomass. PEST and SWOT analysis are used to model the plant cultivation process using conditions for preserving plant biodiversity.
Employment of a Nonlinear Adaptive Control System for Improved Control of Dissolved Oxygen in Sequencing Batch Reactor Michal Banach,Michal Kolankowski,Robert Piotrowski,Tomasz Ujazdowski Banach, M., Kolankowski, M., Piotrowski, R., Ujazdowski, T. (2023). Employment of a Nonlinear Adaptive Control System for Improved Control of Dissolved Oxygen in Sequencing Batch Reactor. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 709. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35173-0_16 Pages 155-164
Abstract:
A proper control in a complex system, such as Wastewater Treatment Plant (WWTP) with each year is becoming increasingly important. High quality control can minimize an environmental impact as well as reduce operational costs of the WWTP. One of the core issues is providing adequate dissolved oxygen (DO) concetration for microorganisms used in a treatment process. An aeration process of the wastewater realised by an system consisting of blowers, pipelines and diffusers generates a large proportion of the costs. This paper presents an employment of a nonlinear adaptive control algorithm Extremum Seeking Control for improved control of DO. For the control design process, models of the aeration system and the biological processes are implemented. The control results based on performed simulation tests are presented.
Three-Dimensional Analysis of the Retinal Vessels Robert Bieda,Krzysztof Jaskot,Marcin Jaworski Bieda, R., Jaskot, K., Jaworski, M. (2023). Three-Dimensional Analysis of the Retinal Vessels. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 709. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35173-0_14 Pages 139-147
Abstract:
The article is an introduction to quantitative analysis retinal blood vessels. The analysis uses an active contouring system to isolate blood vessels obtained by scanning with an Angio-OTC device. It should bring possibility to make therapeutic decisions and determine the treatment prognosis that are based on the results of quantitative analysis of neovascular changes.
Tracking Optimization in Nonparametric Identification of Time-Varying Nonlinear Systems Grzegorz Mzyk,orcid.org/0000-0002-1701-5095 Mzyk, G. (2023). Tracking Optimization in Nonparametric Identification of Time-Varying Nonlinear Systems. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 709. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35173-0_13 Pages 128-136
Abstract:
The work concerns non-parametric identification of time-varying non-linear characteristics. Two algorithms have been proposed. The first - based on kernel regression, and the second - based on the concept of nearest neighbors. Forgetting factor and number of selected neighbors are optimized to ensure a reasonable balance between bias and variance of the estimators. An empirical tuning algorithm minimizing the upper bounds of the tracking error has been developed. Illustrative experimental studies were also carried out.
MOOforest – Multi-objective Optimization to Form Decision Tree Ensemble Joanna Grzyb,Michał Woźniak Grzyb, J., Woźniak, M. (2023). MOOforest – Multi-objective Optimization to Form Decision Tree Ensemble. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 709. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35173-0_11 Pages 108-117
Abstract:
Multi-criteria optimization is increasingly used to build classifier ensembles, including for the imbalanced data classification task. Then we have the problem of optimizing at least two criteria related to the prediction quality of the minority and majority classes, or the so-called classification precision. The paper proposes - a new method for building decision tree ensembles. It uses the optimization algorithm to return a diverse pool of base classifiers by selecting different feature subsets on which they are trained. From the pool of non-dominated solutions, the final ensemble is chosen using the method. Modifying the weights of the algorithm allows the user to select the appropriate solution in the context of the user’s expectations (i.e., it indicates how important each optimization criterion is to the user). It is worth noting that during the classifier ensemble training, the features selected for the base classifiers result from the optimization process, and not as in the case of popular algorithms employing the approach (such as ), where attributes are selected randomly. Thus, the proposed method has an advantage over the mentioned approach, confirmed through a comprehensive set of computer experiments.
B-Spline Identification of Cascade Control System on the Example of Building Heating System Jacek Jagodziński,orcid.org/0000-0002-4693-7531,Marta Lampasiak,orcid.org/0000-0002-4623-5142 Jagodziński, J., Lampasiak, M. (2023). B-Spline Identification of Cascade Control System on the Example of Building Heating System. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 709. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35173-0_12 Pages 118-127
Abstract:
The article addresses the problem of identifying and controlling cascade systems using B-splines. This article proposes a classification of identification approaches at the level of experiment planning. The use of classical identification methods, based on the response of the system to a well-defined standard test signal, in some cases is not possible to use in cascade systems. A method based on B-splines, allows for system identification using any input signal. This allows for a wider range of identification scenarios. This paper tests the B-spline identification method for a heating model of a building. The article also points out a number of problems arising from the application of the method. It is not a self-sustaining procedure that guarantees obtaining a solution – in particular, with badly chosen parameters, the method may not produce a solution. The problems and some suggestions are made for the appropriate implementation of the algorithm.
Multi-objective Optimization in COVID19 Mitigation Wojciech Rafajłowicz Rafajłowicz, W. (2023). Multi-objective Optimization in COVID19 Mitigation. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 709. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35173-0_9 Pages 90-97
Abstract:
In this paper an optimization approach to decision process in COVID-19 mitigation is presented. The model is explained along with short information about multiobjective optimization. Finally results are shown on the tradeoffs faced in COVID-19 pandemics.
Metaheuristic-Based Lagrangian Relaxation for Total Weighted Tardiness Minimization Czesław Smutnicki,orcid.org/0000-0003-4640-5364,Jarosław Rudy,orcid.org/0000-0003-1095-6041,Radosław Idzikowski,orcid.org/0000-0001-5232-1998,Wojciech Bożejko,orcid.org/0000-0002-1868-8603 Smutnicki, C., Rudy, J., Idzikowski, R., Bożejko, W. (2023). Metaheuristic-Based Lagrangian Relaxation for Total Weighted Tardiness Minimization. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 709. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35173-0_10 Pages 98-107
Abstract:
In this paper, a Lagrangian relaxation approach to the problem of minimization of the total weighted tardiness is presented. The approach can be used both to solve the original problem as well as to obtain a high-quality lower bound for the branch-and-bound method. The problem was further decomposed into upper and lower problems. For the upper problem, an approach using a local-search metaheuristic is proposed instead of a subgradient method from the literature. Several variants of both methods are then implemented and compared through a numerical example using OR library problem instances. The results prove the viability of the metaheuristic approach as with little calibration it is able to match or outperform a refined subgradient method.
An Exact Quantum Annealing-Driven Branch and Bound Algorithm for Maximizing the Total Weighted Number of on-Time Jobs on a Single Machine Wojciech Bożejko,orcid.org/0000-0002-1868-8603,Jarosław Pempera,orcid.org/0000-0002-0614-0085,Mariusz Uchroński,orcid.org/0000-0002-9185-1841,Mieczysław Wodecki,orcid.org/0000-0001-8188-4503 Bożejko, W., Pempera, J., Uchroński, M., Wodecki, M. (2023). An Exact Quantum Annealing-Driven Branch and Bound Algorithm for Maximizing the Total Weighted Number of on-Time Jobs on a Single Machine. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 709. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35173-0_8 Pages 79-89
Abstract:
This paper considers the problem of maximizing the total weighted number of on-time jobs on a single machine. Using the problem as a case study, we present a new approach to solving -hard discrete optimization problems using D-Wave’s QPU quantum processor architecture implementing quantum annealing. Although optimization on a quantum machine does not guarantee optimality, the hybrid method of construction of the partitioning and constraint algorithm proposed in this paper, using together CPU and QPU as well as Lagrange relaxation for upper bounds determination, makes it possible to determine the exact, optimal solution.
The Idea of Technical Predictive Maintenance of Utility Buildings Using Text Sources of Information About the Technical Condition of Buildings Marcin Gajzler Gajzler, M. (2023). The Idea of Technical Predictive Maintenance of Utility Buildings Using Text Sources of Information About the Technical Condition of Buildings. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 709. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35173-0_6 Pages 57-65
Abstract:
The article deals with the subject of building maintenance in terms of their reliability by ensuring proper technical condition. The basic strategies of building maintenance with characteristics of the frequency of using the strategy were presented. Reactive strategies have been found to be common, which can lead to excessive maintenance costs and technical problems. In this context, predictive maintenance and basic barriers to the implementation of this strategy were indicated. As an alternative to the full sensory infrastructure, it was proposed to use data on the technical condition of buildings contained in text documents. The article presents the algorithm of proceeding and CBR reasoning as a possibility to support technical management in predictive maintenance of buildings.
Comparison of Data Depth Calculation Method for Fault Detection in Electric Signal Waldemar Bauer,Adrian Dudek,Jerzy Baranowski Bauer, W., Dudek, A., Baranowski, J. (2023). Comparison of Data Depth Calculation Method for Fault Detection in Electric Signal. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 709. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35173-0_5 Pages 47-56
Abstract:
Functional Data Analysis (FDA) is a modern statistical technique that deals with data in the form of curves or functions. It has recently gained popularity in the field of fault detection as it can capture the dynamic behavior of a system over time. In this paper, we explore the fault detection capabilities of functional data depth calculated by different methods.
Application of Statistical Methods to Support Automation of Pricing in Business Katarzyna Grobler-Debska,Edyta Kucharska,Rafał Mularczyk,Mieczysław Jagodziński Grobler-Debska, K., Kucharska, E., Mularczyk, R., Jagodziński, M. (2023). Application of Statistical Methods to Support Automation of Pricing in Business. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 709. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35173-0_4 Pages 37-46
Abstract:
This paper presents the possibility of using statistical modeling to automate the process of dynamic pricing management with revenue control and adaptation to current legislation in this area. In addition, it is proposed the use of integration of Python tools with the ERP and BI systems popularly used in the industry. This integration in order to facilitates decision-making in this area for the business without the end of programming. The proposed solutions support the CEO enterprises make decisions regarding pricing strategies and optimize their revenues.
Information-Theoretic Lower Bounds of the Quadratic Cost in Stochastic Control with Partial Observation Piotr Bania Bania, P. (2023). Information-Theoretic Lower Bounds of the Quadratic Cost in Stochastic Control with Partial Observation. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 709. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35173-0_7 Pages 66-75
Abstract:
Stochastic control with quadratic cost and partial, noisy observation has been considered. It has been proven, under rather natural assumptions, that the cost function is lower bounded by two types of bounds. The first one is convex increasing function of the mutual information between observations and state of the system. The second bound is decreasing function of the mutual information between control sequence and the state. Considerations are illustrated with simple example.
Experimental Assessment for Radar-Based Estimation of Host Vehicle Speed During Traction Events Dariusz Cieślar,Maciej Różewicz Cieślar, D., Różewicz, M. (2023). Experimental Assessment for Radar-Based Estimation of Host Vehicle Speed During Traction Events. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 709. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35173-0_3 Pages 25-36
Abstract:
Estimation of host vehicle motion is a necessary component of a control algorithm for automotive Advanced Driver Assistance Systems (ADAS). Vehicles with ADAS features are equipped with radars and cameras, which can be used to complement the conventional methods of observing host motion by inertial estimators. Automatic Emergency Braking is a basic feature of ADAS, which may result in request for significant tractive force requests. This work reports experimental results comparing radar-based method of host vehicle speed estimation with an inertial estimator. Maneuvers of interest are straight line braking and acceleration events at road surfaces with high and low friction coefficients.
Bayesian Fault Diagnosis for Induction Motors During Startup in Frequency Domain Kacper Jarzyna,Michał Rad,Paweł Piątek,Jerzy Baranowski Jarzyna, K., Rad, M., Piątek, P., Baranowski, J. (2023). Bayesian Fault Diagnosis for Induction Motors During Startup in Frequency Domain. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 709. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35173-0_2 Pages 14-24
Abstract:
In this paper we consider diagnostics of induction motor faults via measurement of startup current. Data collected has a form of time series of varying length and magnitude, as it strongly depends on voltage supply. In this work we focus on functional representation of those signals in time domain. We show that we can effectively model those signals with taking uncertainty under consideration and using those models create efficient classifier. For this purpose we have used Bayesian Gaussian mixture model classifier, which creates models of all healthy and faulty states and the entirety of population of possible cases. We show how our approach works and how it behaves under significant randomization.
Control Assessment with Moment Ratio Diagrams Patryk Chaber,Paweł D. Domański Chaber, P., Domański, P.D. (2023). Control Assessment with Moment Ratio Diagrams. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 709. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35173-0_1 Pages 3-13
Abstract:
This paper presents an application of the statistical moments and respective moment ratio diagrams (MRD) to the control performance assessment (CPA). Moment ratio diagram is the statistical visualization method that allows to present graphically properties of the empirical observations. At the same time CPA is a well established research area delivering indexes and methodologies to measure the control loop quality. Statistical properties of variables from the system provide information about the performance thus moment ratio diagrams may represent properties of the control system. In the considered research moment ratio diagrams are used to assess the quality of real PID based control system and to present its performance graphically. It is shown that control system quality can be efficiently visualized using moment ratio diagrams. The method is validated using the laboratory mechanical servomechanism, which inherently includes into the picture real life aspects and limitations.
Eigensystem Realization Algorithm (ERA) in Simulation of Dynamic Response of Marine Autonomous Surface Ships (MASS) Sebastian Bielicki Bielicki, S. (2023). Eigensystem Realization Algorithm (ERA) in Simulation of Dynamic Response of Marine Autonomous Surface Ships (MASS). In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 709. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35173-0_32 Pages 338-349
Abstract:
Dynamic response of ships running at sea are usually investigated in frequency domain. The time domain approach is adapted to simulators and evaluation and design of motions control systems applied onboard. The time domain response pay a major role in the design and control of unmanned sea vessels. The most of modern tools computing ships behaviour in sea are based on potential code with frequency domain output of hydrodynamic coefficients and excitation forces. Time-domain models of marine vessels that rely on frequency domain data are generally evaluated using the Cummins equation with convolution terms. This approach is sometimes impractical in design of control systems as well as for real time simulations. This paper introduces application of eigenvalue realization algorithm to find state space model realization of Cummins retardation function. The matrices of hydrodynamic coefficients and excitation forces are obtained by frequency domain computations. Further simulations of selected ship responses evaluated by proposed method are compared with scaled model tests in representative wave realizations.
Ship Dynamic Positioning Based on Nonlinear Model Predictive Control Krzysztof Jaros,Roman Smierzchalski,Anna Witkowska Jaros, K., Smierzchalski, R., Witkowska, A. (2023). Ship Dynamic Positioning Based on Nonlinear Model Predictive Control. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 709. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35173-0_33 Pages 350-359
Abstract:
The presented work explores the simulation test results of using nonlinear model predictive control algorithm for ship dynamic positioning. In the optimization task, a goal function with a penalty was proposed with a variable prediction step. The results of the proposed control algorithm were compared with backstepping and PID. The effect of estimation accuracy on the control quality with the implemented algorithms was investigated. The proposed version of the MPC-NO controller was shown to have better dynamic and static properties.
Tactile Feedback Glove Working in Virtual Reality Szymon Skupień,orcid.org/0009-0004-7631-9875,Paweł Kowol,orcid.org/0000-0002-5855-7763,Paweł Nowak,orcid.org/0000-0002-6201-2782 Skupień, S., Kowol, P., Nowak, P. (2023). Tactile Feedback Glove Working in Virtual Reality. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 709. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35173-0_27 Pages 282-291
Abstract:
In this paper the role of Tactile Feedback devices in Virtual Reality systems is defined. The idea of the Tactile Feedback glove with magnetorheological fluid is presented. The components of the glove, which is a mechatronic system, are described. A measurement system using a resistive flex sensor to determine finger deflection in the Tactile Feedback glove is presented. The final result of the PBL project, a Tactile Feedback glove integrated with the Virtual Reality system, is presented.
On FOPID Controller Tuning of a Legless Capsubot Robot Artur Babiarz,orcid.org/0000-0002-7841-7151 Babiarz, A. (2023). On FOPID Controller Tuning of a Legless Capsubot Robot. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 709. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35173-0_29 Pages 306-313
Abstract:
In this paper the imperialist competitive algorithm is used for searching optimal value of parameters of fractional-order PID (FOPID) regulator which is applied for control system of legless capsubot robot. The tuning was done via minimization of selected cost functions with the use of imperialist competitive algorithm (ICA). Obtained results from simulations are compared and discussed.
Identification of Ship’s Hull Mathematical Model with Numerical Methods Agnieszka Piekło,Paweł Hoffmann,Anna Witkowska,Tomasz Zubowicz Piekło, A., Hoffmann, P., Witkowska, A., Zubowicz, T. (2023). Identification of Ship’s Hull Mathematical Model with Numerical Methods. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 709. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35173-0_31 Pages 327-337
Abstract:
The modern maritime industry is moving toward the development of technology that will allow for full or partial autonomy of ship operation. This innovation places high demands on ship performance prediction techniques at the design stage. The research work presented in the article is related to the design stage of the ship and concerns methods for prognosis and evaluation of the specific operational condition of the ship, namely the dynamic positioning (DP). The paper is an introduction to a study that seeks to assess the impact of using advanced simulation models on the accuracy of DP capability prediction. To this end, the Potential Theory and methods of Computational Fluid Dynamics (CFD) are applied to determine the mathematical model of the ship. The parameters obtained in the course of simulation studies have been compared to those obtained experimentally. The study showed that the proposed method is sufficiently accurate for the purposes of determining the added mass and damping coefficients of the ship. Consequently, it is considered that design offices could improve the accuracy of the DP prediction by using mathematical modeling and numerical methods to estimate selected ship parameters.
Prototype of Turbine Propulsion System with Controllable Thrust Vector for Long-Range Unmanned VTOL Aircraft Roman Czyba,orcid.org/0000-0001-8118-1082,Marcin Lemanowicz,orcid.org/0000-0002-1679-6221,Jarosław Domin,orcid.org/0000-0002-4036-1033,Jacek Grzybowski,Izabela Stępień,Łukasz Ungier,Radosław Rosiek,Piotr Białas,Michał Niemiec Czyba, R. et al. (2023). Prototype of Turbine Propulsion System with Controllable Thrust Vector for Long-Range Unmanned VTOL Aircraft. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 709. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35173-0_30 Pages 314-323
Abstract:
The aim of the project was to build a prototype of a turbine drive with a controllable thrust vector for a long-range vertical take-off and landing (VTOL) aircraft. The construction of the prototype required the development of a vectoring system for the tail propulsion system and a dedicated VTOL aircraft stabilization and control system. The prototype of the turbine drive system was based on energy-efficient electric motors. Research also involved modeling the turbine propulsion aerodynamics with usage of computational fluid dynamics (CFD) analysis. As a result of the design stage, a prototype of the propulsion system was created, on which flight tests were carried out.
Control System for Humanoid Robot Teresa Zielinska,Maksymilian Szumowski Zielinska, T., Szumowski, M. (2023). Control System for Humanoid Robot. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 709. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35173-0_28 Pages 292-305
Abstract:
The article presents the specification of the control system designed for humanoid robots. The agent approach was used and the basic concept of subsystem function implementation using Finite State Machines was presented. The basic components of the system consisting of the motion agent, scheduling agent, location and mapping agent and user interface agent are discussed. The main parts of the system have been implemented and tested on small humanoid robots.
Automotive Radar Detection Level Modeling with Neural Networks Filip Ciepiela,Mariusz Karol Nowak,Daniel Dworak,Mateusz Komorkiewicz Ciepiela, F., Nowak, M.K., Dworak, D., Komorkiewicz, M. (2023). Automotive Radar Detection Level Modeling with Neural Networks. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 709. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35173-0_25 Pages 254-265
Abstract:
Radars are widely used in automotive to deliver both interior and exterior environment sensing capability and enable functions such as cabin monitoring, automatic emergency breaking, adaptive cruise control etc. Complex verification of automotive radars is needed to ensure the safety of the final product. Validation is performed on many levels such as climate chambers tests, electromagnetic emission compliance, algorithm robustness and much more. Computer simulations are also widely used for this purpose. Automotive radars are modelled on several levels of abstraction starting from the physical wave propagation analysis to high level system output simulation. In the article a new approach to the detection level simulation of automotive radar is presented. It is based on the neural network system modelling. The performance verification based on publicly available nuScenes dataset is presented that allows to compare the results between different models.
Robotic System Specification Language Use Case Cezary Zieliński,Maksym Figat Zieliński, C., Figat, M. (2023). Robotic System Specification Language Use Case. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 709. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35173-0_26 Pages 269-281
Abstract:
The paper briefly introduces: embodied agent based robotic systems and a 6-layer hierarchic Petri net meta-model describing their activities. As the meta-model contains a plethora of parameters, a specialised language, i.e. RSSL, has been introduced to facilitate the transformation of the meta-model into a model of the designed system, i.e. its specification. The paper focuses on an example showing how RSSL is used in the design process. The use case is a ball-collecting mobile robot operating in two modes: teleoperated and autonomous, controlled by voice commands, navigating in an environment containing obstacles.
Multiple Hypothesis Planning for Vehicle Control Wojciech Turlej,Wojciech Mitkowski Turlej, W., Mitkowski, W. (2023). Multiple Hypothesis Planning for Vehicle Control. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 709. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35173-0_24 Pages 245-253
Abstract:
One of the most difficult aspects of planning the motion of autonomous vehicles is the uncertainty regarding the future behavior of other road users. Ensuring a safe motion often requires preparing for multiple plausible outcomes of a current road situation. To achieve this, we propose an optimization-based trajectory generation method capable of planning an efficient motion while ensuring a collision-free behavior with respect to several conflicting hypotheses. The method generates multiple control trajectories that overlap for a certain time period, ensuring that the initial part of the trajectory can be continued with a safe motion regardless of which hypothesis will prove to be true. One notable application of the proposed method is an implementation of a Fail-Safe Planning concept, where the vehicle’s trajectory is planned based on a most plausible prediction of the other road users’ behaviors while simultaneously a fail-safe trajectory is generated based on a worst-case prediction, ensuring the existence of a collision-free maneuver that can be used in emergency situations.
The Influence of the Relative Vehicles Speed on the Environmental Perception-Tests on Slovakia Ring Gawel Bartosik,Jan Danko,Marek Dlugosz,Marek Galinski,Matej Janeba,Peter Lehoczky,Dariusz Marchewka,Tomas Milesich,Patryk Siwek,Pawel Skruch Bartosik, G. et al. (2023). The Influence of the Relative Vehicles Speed on the Environmental Perception-Tests on Slovakia Ring. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 709. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35173-0_23 Pages 235-244
Abstract:
The paper describes real world experiments conducted on Slovakia Ring. The main objective of these experiments is to analyze the influence of the relative speed between the ego and the target vehicle on the data provided by the sensors and the perception algorithms executed on these data. During the experiments, data obtained by camera, GNSS/IMU location sensor and lidar are analyzed. The results show that the relative speed has an influence on the environment perception by the sensors and has to be compensated for.
Reactive Control Algorithm for F1TENTH Autonomous Vehicles in Unknown Dynamic Environments Artur Morys - Magiera,Aleksandra Lis,Jakub Pudlo,Andrzej Papierok,Marek Dlugosz,Pawel Skruch Morys - Magiera, A., Lis, A., Pudlo, J., Papierok, A., Dlugosz, M., Skruch, P. (2023). Reactive Control Algorithm for F1TENTH Autonomous Vehicles in Unknown Dynamic Environments. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 709. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35173-0_22 Pages 225-234
Abstract:
Autonomous control of scaled racing cars is an increasingly popular approach for testing and presenting new control algorithms while also reducing the operational costs required to bring such a model along with a proper racing track to life. In most cases where autonomous vehicles come into play, the environment map is not known a priori, in which case the algorithm should sufficiently drive the car in real time, without having planned an optimal trajectory. This study presents a reactive method based solely on LiDAR readings that successfully navigates the car through unknown dynamic environments with obstacles, taking into account the principle of safety: not to crash into obstacles or other vehicles. We show that the algorithm significantly outperforms two other existing reactive algorithms and renders a cost-effective solution to the problem of autonomous driving on unknown maps, as well as it renders itself as a possibly good “specialist" model in Expert Intervention Learning (EIL) approach-based models for autonomous vehicles, especially the F1TENTH cars.
Automatic Artifact Removal from Dermoscopic Images Kacper Kozaczko,Radoslaw Szpot,Andrzej Brodzicki,Anna Wójcicka Kozaczko, K., Szpot, R., Brodzicki, A., Wójcicka, A. (2023). Automatic Artifact Removal from Dermoscopic Images. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 709. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35173-0_19 Pages 193-202
Abstract:
Dermoscopic image analysis is an important field that helps in skin cancer diagnosis. Removing image artefacts, such as hair or measuring tools, remains challenging due to the lack of datasets with artefact ground truth and clear samples. In this work, we present a comprehensive study of different segmentation and inpainting algorithms, as well as present our own solution for segmentation. To the best of our knowledge, this is one of the first papers that introduce both qualitative and quantitative analysis of framework performance at different stages, by evaluating the proposed methods on an artificially created dataset, based on ISIC database modification. We are able to show that our methods achieve a Dice score of 0.59 on hair segmentation and 51.36 Peak signal-to-noise ratio (PSNR) in image inpainting.
Software System Testing as an Optimization Problem Pawel Skruch,Marek Dlugosz,Wojciech Mitkowski,Marcin Szelest Skruch, P., Dlugosz, M., Mitkowski, W., Szelest, M. (2023). Software System Testing as an Optimization Problem. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 709. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35173-0_20 Pages 205-214
Abstract:
The paper presents an optimization-based approach to the testing of software systems. In the proposed approach, test case selection is combined with test execution, and these two activities are conducted in parallel. Executing a test case consists of exiting the system with an input and comparing the resulting output with the expected one. The test selection procedure is iterative and is driven by the optimization algorithm. The performance index to be maximized is defined as the distance between the actual and expected outputs. This formalism will allow one to find areas that have been implemented incorrectly. An empty set of test cases will give some confidence that the system has been properly implemented. The main advantage of the approach is focus on error-prone scenarios that leads to drastically reduced number of tests to be executed, and consequently to less testing effort. An example is included to verify the approach and to present its applicability for industrial projects.
A Model-Based Approach to Testing Software Control Systems Described by Linear Differential Equations Pawel Skruch,Marek Dlugosz,Wojciech Mitkowski,Marcin Szelest Skruch, P., Dlugosz, M., Mitkowski, W., Szelest, M. (2023). A Model-Based Approach to Testing Software Control Systems Described by Linear Differential Equations. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 709. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35173-0_21 Pages 215-224
Abstract:
The increasing complexity and wide applicability of software control systems requires the use of advanced and automated development and testing methodologies to meet time-to-market constraints, quality assurance and safety standards. In this context, the applicability of model-based development (MBD) and model-based testing (MBT) methodologies to such systems has gained attention in the last decade. The paper presents an integrated model-based approach to testing software control systems whose models are described by linear differential equations. The approach presented concerns conformance testing and includes the notation of tests, the implementation of a test comparator, the calculation of test coverage, the generation of test cases, and the execution of the tests. Finally, an example of a two-dimensional system is used for an experimental evaluation of the theoretical analysis and to present a perspective on the applicability of the approach for industrial projects.
Mobile Application for Skin Lesions Classification Katarzyna Dziewulska,Konrad Ciecierski Dziewulska, K., Ciecierski, K. (2023). Mobile Application for Skin Lesions Classification. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 709. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35173-0_18 Pages 182-192
Abstract:
Deep learning algorithms are rapidly growing and powerful algorithms that achieve very high results in tasks such as image classification, recognition or segmentation, speech recognition, and many others. The disadvantage of using these methods is that they often need a lot of computational resources. The significant development of mobile devices has allowed the use of these algorithms in mobile applications. The wide availability of mobile phones (smartphones) makes it possible to improve many areas of people’s lives. Particularly beneficial can be the use of such applications in medicine. We have created this kind of application in the field of dermatology for controlling skin lesions. Such a mobile app can relieve the health service and allows faster detection of potential abnormalities. Our application, based on the photo of the lesion taken by the user with his mobile phone, will inform him whether his skin lesion should be checked by a dermatologist immediately because it looks suspicious, should be observed periodically, or whether it is safe and nothing dangerous should happen to it. This article presents the crucial aspects of creating a mobile application for medical skin lesions classification, especially training the classification model.
Design of a Radiance Function in Terms of Distance and Voltage Supply for a Halogen Bulb Applied as Light Source for PV Modules Tester Lukas Chruszczyk,orcid.org/0000-0001-9812-8851,Kamil Szczepanowski,Damian Grzechca,orcid.org/0000-0003-1391-8809 Chruszczyk, L., Szczepanowski, K., Grzechca, D. (2023). Design of a Radiance Function in Terms of Distance and Voltage Supply for a Halogen Bulb Applied as Light Source for PV Modules Tester. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 709. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35173-0_42 Pages 451-460
Abstract:
The purpose of this study was development of for a photovoltaic panel (PV). A prototype test bench was built with dimensions that allow testing of a single PV module. As a source of artificial light, high-power halogen bulbs were used. A test bench was created to perform a series of measurements of the used bulbs. Based on these measurements, irradiance functions were determined dependent on distance or supply voltage. Those functions were used to create a model, based on which it was possible to obtain the optimal placement of the bulbs above PV module, while ensuring adequate irradiance to verify the performance of the photovoltaic panels.
Reinforcement Corrosion Testing and Modeling of Chloride Ion Diffusion to Concrete in High Temperature and Humidity Environment Zofia Szweda,Artur Skórkowski,Zbigniew Buliński,Przemysław Toboła,Natalia Strzoda,Mateusz Podgórny,Wojciech Widuch,Marek Taraur,Maciej Bara,Piotr Eliasz Szweda, Z. et al. (2023). Reinforcement Corrosion Testing and Modeling of Chloride Ion Diffusion to Concrete in High Temperature and Humidity Environment. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 709. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35173-0_41 Pages 441-450
Abstract:
The article presents the results of selected research carried out as part of the PBL project entitled: Development and verification of a model of chloride diffusion and migration processes in concrete structures under the conditions simulating a changeable climate impact. This project was co-financed under the project: “Silesian University of Technology as a Center for Modern Education based on research and innovation” - POWR-03.05.00-00-Z098/17-00, from the European Social Fund. The project was implemented in cooperation with three faculties of the Silesian University of Technology. From the Faculty of Civil Engineering, the main supervisor: Zofia Szweda and students: Natalia Strzoda, Mateusz Podgórny, Przemysław Toboła. From the Faculty of Electrical Engineering: tutor Artur Skórkowski and students: Marek Taraur, Wojciech Widuch. From the Faculty of Energy and Environmental Engineering, tutor Zbigniew Buliński and students Maciej Bara and Piotr Eliasz. The project was implemented from March 1, 2022 to June 27, 2022. As part of the project, a system for measuring, visualizing and analyzing such physical quantities as temperature, relative air humidity and CO concentration level in a climatic chamber (purchased with project funds) for testing building materials was developed. The electrochemical impedance spectroscopy (EIS) method was used to check whether there were any changes caused by the development of corrosion in the tested samples stored inside and outside of the climatic chamber. A methodology for modeling transport phenomena in concrete was also developed.
Chosen Topics of Teaching WinCC 7.X System Programming Ryszard Jakuszewski Jakuszewski, R. (2023). Chosen Topics of Teaching WinCC 7.X System Programming. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 709. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35173-0_40 Pages 431-440
Abstract:
SCADA systems use many modern programming technologies. The amount of knowledge needed to use them steadily grows. In the paper is presented the application, which shows how to solve many industry problems using modern programming tools. The application has been developed in Simatic HMI WinCC v7.5 made by Siemens firm and is used during WinCC training courses. It consists of almost 250 pictures, which include many programs and present step by step how to use WinCC tools by examples in graphical way. Many pages of WinCC documentation are shown on only several pictures, which enables easily to memorize even complex algorithms.
Evaluating Slovak Roads for Vehicle-to-Everything Communication 3GPP Requirements Matej Janeba,orcid.org/0009-0004-6841-1233,Marek Galinski,orcid.org/0000-0001-6622-526X,Peter Lehoczky,orcid.org/0000-0001-7301-0582,Tomáš Milesich,orcid.org/0000-0002-1294-5429,Ján Danko,orcid.org/0000-0002-7193-7728,Luboš Magdolen,orcid.org/0000-0002-0507-3378 Janeba, M., Galinski, M., Lehoczky, P., Milesich, T., Danko, J., Magdolen, L. (2023). Evaluating Slovak Roads for Vehicle-to-Everything Communication 3GPP Requirements. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 709. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35173-0_39 Pages 420-430
Abstract:
With the deployment of 5G networks across European countries, researchers and industry can consider research and development of new Cellular-V2X (C-V2X) applications for the environment of Connected and Cooperative Automated Mobility (CCAM) with vision of rapid development into the daily life of vehicle drivers. In order to have these services safe and reliable, several criteria of the cellular network performance across various parameters have to be met. These criteria are described in the 3GPP Release 15 and partially updated in Release 16. In this paper, we performed and concluded several experiments with a vehicle driving across different types of Slovak roads, where we evaluated cellular network performance in terms of Quality of Experience parameters and we compared the results with the requirements set by 3GPP documents. As a part of this, we also provide comparison of meeting these requirements between using 5G-NSA (Non-Standalone, all 5G networks currently in use in Slovakia are these type of 5G network) and 4G (LTE) network.
Nesting Control Algorithm for the 3D/5D Printers, Based on the Virtual Forces and Collision Detection Ryszard Leniowski,Krzysztof Tomecki,Michał Wroński,Szymański Tomasz Leniowski, R., Tomecki, K., Wroński, M., Tomasz, S. (2023). Nesting Control Algorithm for the 3D/5D Printers, Based on the Virtual Forces and Collision Detection. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 709. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35173-0_38 Pages 405-419
Abstract:
In the case of 3D printing, the task of placing or nesting means the optimal distribution of elements in the workspace. The primary goal is to produce as many items as possible in one technological process while maintaining the desired strength and visual parameters. The task is difficult to solve, because the objects considered have different shapes, different dimensions, specific technical features (e.g. shrinkage due to heat dissipation). Also the planning process has several restrictions (e.g. height of elements in different production areas). The article presents an algorithm of intelligent packaging of items, dedicated to use in CAM systems, for manufacturing with 3D and 5D printers. The algorithm, is composed of several elements based on physical interactions: the force and torque fields and the contact and dissipative forces. Additionally, objects can modify their local force fields during interactions, depending on the technological parameterization used. An innovative solution, used in nesting algorithm, consists of the application of the invented idea called ‘profile of emotions’. This idea is a function that reduces the level of physical interactions over time. The result of profiling gives number of stable solutions, i.e. a set of proposals for packing items in the workspace. The article also includes a description of the developed software, graphical interpretation of the process and test results. Tests were carried out using Matlab.
Analysis of the Impact of EU Policy on the Development of Sustainable Mobility in Ukrainian Cities Khrystyna A. Barvinska Barvinska, K. (2023). Analysis of the Impact of EU Policy on the Development of Sustainable Mobility in Ukrainian Cities. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 709. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35173-0_37 Pages 394-404
Abstract:
This article analyses the impact of European Union policy on sustainable development and the development of Sustainable mobility in Ukraine. The legislative postulates of Europe, which encourage other countries to act by them, are analysed. According to the European Green Course, one of the primary documents is the European Green Agreement. Scientific sources of recent years have been analysed. The world trends of ecological transport, and the problems of the less developed countries of Europe, which they face with increased requirements and control over the implementation of transportation, are highlighted. The concepts of intelligent transport system, robotic city, smart city were also introduced. The prospects of Europe until 2050, according to the European Green Deal, are described. The article is also about social sustainability, a dynamic concept of design that contributes to strengthening the physical sphere with the design of the social world and the development of infrastructure to support social needs and problems. Problems that can be faced due to the desire of the population to live in cities are given. The indices and sub-indices of the world’s readiness for Sustainable mobility have been determined. The research of some authors on the problems of the development of sustainable mobility in Ukraine is presented.The first part of the article presents legislative and practical aspects of sustainable development and mobility.Ukraine has adopted the path of movement towards the EU. Therefore, it joins the environmental protection initiatives both at the legislative level and in practical implementation. The author proposed a block diagram of the sustainability achievement by the Ukraine cities through EU policy. Examples of implementing the concept of Sustainable mobility in the cities of Ukraine are given, and the advantages of using public transport in the city, as opposed to a private vehicle, are shown. The results of the survey show the readiness of the population of Ukraine for Sustainable Living and Sustainable Urban Mobility.Citizens’ opinions about their ecological way of life and recommendations of expected actions from the city authorities were received.The conclusions provide possible pro-government actions for effectively implementing the European sustainable development and mobility concepts
.
Development of an Executive Design of a Station for Measuring the Curvature of Metallurgical Charge for Rolling Marek Płaczek,Piotr Krauze,Arkadiusz Ryfa,Tomasz Jabłonka,Karol Bałys,Magdalena Helmich,Dawid Badora,Bartosz Florkiewicz,Kamil Polak,Piotr Słonka,Mateusz Trybułowski Płaczek, M. et al. (2023). Development of an Executive Design of a Station for Measuring the Curvature of Metallurgical Charge for Rolling. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 709. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35173-0_36 Pages 385-393
Abstract:
The work is a report on the implementation of interdisciplinary group project classes conducted in accordance with the Project Based Learning approach. The aim of the project was to develop an automated station for measuring the curvature of metallurgical charge and to create its technical documentation. The station is intended to work in cooperation with devices of an automated line for spreading and transporting metallurgical charges, which is a part of the technological line for hot rolling. The task of the station is to identify the curvature value, so that a charge with exceeded parameters does not proceed to the next stage of the process (the goal is significant in terms of eliminating defects). The final outcome of the project was to be a complete technical documentation of the designed station along with the measurement algorithm. Additionally, a laboratory test station and a system design for use in real industrial conditions were developed.
Impact of the Grid Size on the Performance of Ant Colony Optimization-Based Algorithm for Ship Safe Path Planning Agnieszka Lazarowska Lazarowska, A. (2023). Impact of the Grid Size on the Performance of Ant Colony Optimization-Based Algorithm for Ship Safe Path Planning. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 709. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35173-0_35 Pages 371-381
Abstract:
The paper presents results of a research on the development of ship safe path planning algorithms for the application in the Decision Support System on-board a manned vessel or in the Autonomous Navigation System of unmanned or fully autonomous ships. The method applied for solving this problem is based on the Ant Colony Optimization, belonging to the Swarm Intelligence approaches. The main purpose of the presented study was to evaluate the influence of the grid size on obtained solutions and the run time of the algorithm. The ship safe path planning problem is firstly defined, followed by the description of the developed Ant Colony Optimization-based algorithm. Results of an exemplary test case, along with some conclusions formulated based on them, are also presented.
Combination of Parallel and Cascade Control on the Example of Two Rotor Aerodynamical System with the Use of FOPID and PID Controllers Jakub Żegleń-Włodarczyk Żegleń-Włodarczyk, J. (2023). Combination of Parallel and Cascade Control on the Example of Two Rotor Aerodynamical System with the Use of FOPID and PID Controllers. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 709. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35173-0_34 Pages 360-370
Abstract:
In the Two Rotor Aerodynamical System two control loops can be distinguished. Each uses the values of both angles - azimuth and pitch. This makes it possible to use parallel or cascade control on both loops. In the article, it was decided to use the system to check the behavior of hybrid control, which would be a combination of both versions. In azimuth angle loop the parallel version was applied. The pitch angle loop used cascade control. Two versions were prepared - the first one with only Proportional Integral Derivative (PID) controllers and the second one with one Fractional Order Proportional Integral Derivative (FOPID). The Grey Wolf Optimizer algorithm was used for optimization purposes. Simulations were carried out in the MATLAB/Simulink environment. The graphs of both angles, the values of the cost function and the execution times were used as a comparison between controllers.
An Application of the Dynamic Decoupling Techniques for a Nonlinear TITO Plant Szymon Król,Paweł Dworak,orcid.org/0000-0003-0947-1418 Król, S., Dworak, P. (2023). An Application of the Dynamic Decoupling Techniques for a Nonlinear TITO Plant. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 708. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35170-9_36 Pages 381-392
Abstract:
In this paper the basic dynamic decoupling methods of two-inputs two-outputs TITO dynamic systems were presented. The article describes the problems of implementing the decoupling techniques for nonlinear thermal plants and shows the solution for the air heater. The new identification method based on the gain-scheduling strategy was proposed further on.
On the Choice of the Cost Function for Nonlinear Model Predictive Control: A Multi-criteria Evaluation Robert Nebeluk,Maciej Ławryńczuk Nebeluk, R., Ławryńczuk, M. (2023). On the Choice of the Cost Function for Nonlinear Model Predictive Control: A Multi-criteria Evaluation. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 708. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35170-9_34 Pages 361-371
Abstract:
Typically, Model Predictive Control (MPC) algorithms minimise the sum of squared predicted control errors, i.e., the L norm. This work reviews the possible cost functions that may be used in MPC. Eight different cost functions are considered and their usefulness is investigated. For a neutralisation reactor benchmark, the influence of the cost function on the resulting control quality is compared in terms of as many as eight indices. All studied approaches are compared in two scenarios: with no process disturbances and when measurement noise and a disturbance affect the process.
Adaptive Sliding Mode control of Traffic Flow in Uncertain Urban Networks Ali Soltani Sharif Abadi,Pooyan Alinaghi Hosseinabadi,Andrew Ordys Abadi, A.S.S., Hosseinabadi, P.A., Ordys, A. (2023). Adaptive Sliding Mode control of Traffic Flow in Uncertain Urban Networks. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 708. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35170-9_35 Pages 372-380
Abstract:
One of the most significant issues in the cities is the heavy traffic that everyday citizens are involved with. In recent decades, various sciences, such as computing science and control and traffic science have been incorporated to address this problem. In this paper, theoretically, the Terminal Sliding Mode Control (TSMC) method is proposed to control the traffic flow in urban networks. Firstly, a two regions model for urban traffic with various uncertainties and external disturbances is considered; subsequently, the Lyapunov stability method is employed to control the urban traffic flow in this model by using designed control inputs and adaptive laws. Finally, a numerical simulation for a case study is performed in Simulink/MATLAB to reveal the effectiveness of the proposed designs in this paper.
Nonlinear Adaptive Control with Invertible Fuzzy Model Marcin Jastrzębski,Jacek Kabziński,Rafal Zawiślak Jastrzębski, M., Kabziński, J., Zawiślak, R. (2023). Nonlinear Adaptive Control with Invertible Fuzzy Model. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 708. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35170-9_33 Pages 349-360
Abstract:
The presented concept of non-linear adaptive control can be used for any system with complex, nonlinear dependencies of control and state variables. It can be applied even when the plant model is partially represented by digital data only. The main idea is to propose a simple fuzzy model to approximate a nonlinear map of control and state, and to develop a fast numerical inversion technique providing on-line control which ensures the desired output of the fuzzy model. Our aim is to obtain a short execution time, to enable applications in DSP-based, fast control systems. Moreover, on-line adaptation of the model parameters should improve the system performance, even if the initial model is inaccurate. The developed fuzzy inversion technique can cooperate with many nonlinear adaptive control approaches: adaptive backstepping, adaptive model following etc.
Synchronization of Four Different Chaotic Communication Systems with the Aim of Secure Communication Ali Soltani Sharif Abadi,Pooyan Alinaghi Hosseinabadi,Andrew Ordys Abadi, A.S.S., Hosseinabadi, P.A., Ordys, A. (2023). Synchronization of Four Different Chaotic Communication Systems with the Aim of Secure Communication. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 708. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35170-9_31 Pages 329-336
Abstract:
The synchronization of systems with the goal of securing communications is a very interesting and recent topic. This paper proposes the Fast Terminal Sliding Mode Control (FTSMC) method to design control inputs for synchronizing four different communication systems, Volta, Coullet, Chen and A.M.Rucklidge. Synchronization of these systems can be used in a variety of applications. Some of the key features of the proposed designs are that these inputs are robust against the variety of uncertainties of the system model and external disturbances. Also, the finite time stability of these systems is guaranteed by using designed inputs. Additionally, these inputs eliminate destructive and undesirable chattering phenomena thoroughly.
Design of Robust H∞ Control of an Active Inerter-Based Vehicle
Suspension System
Keyvan Karim Afshar,Roman Korzeniowski,Jarosław Konieczny Karim Afshar, K., Korzeniowski, R., Konieczny, J. (2023). Design of Robust \({H_\infty }\) Control of an Active Inerter-Based Vehicle Suspension System. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 708. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35170-9_32 Pages 337-348
Abstract:
In this study, a robust controller for a quarter-car model of an active inerter-based suspension in the presence of external disturbance has been investigated. Its prime goal is to improve the inherent trade-offs among ride quality, handling performance, suspension travel, and power consumption. Inerters have been widely used to suppress undesirable vibrations of various types of mechanical structures. First, the dynamics and state space of the active inerter-based suspension system were achieved for the quarter-car model. To meet the specified objectives, and guarantee the prescribed disturbance attenuation level of the closed-loop system, the Lyapunov stability function, and linear matrix inequality (LMI) approaches have been used to fulfill the robust criterion. Furthermore, to limit the gain of the controller, some LMIs have been added. Numerical simulations show that an active suspension based on inerter performs much better than a passive suspension with inerter and active suspension without inerter.
Consistent Design of PID Controllers for Time-Delay Plants Andrzej Bożek,Zbigniew Świder,Leszek Trybus Bożek, A., Świder, Z., Trybus, L. (2023). Consistent Design of PID Controllers for Time-Delay Plants. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 708. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35170-9_30 Pages 320-328
Abstract:
Inspired by IMC approach, tuning rules for PID control of time-delay plants such as pure TD, FOPTD, SOPTD and IPTD are developed. Control systems for the first three plants can be designed in a consistent way, since they are described by the same transfer function for commonly used controllers. Analytic rules are given for critical damping. Nomograms characterize overdamping for settling time specification and underdamping for overshoot. Practical experiment confirms fairly good correspondence of closed-loop responses to specifications.
Configurable Dynamics of Electromagnetic Suspension by Fuzzy Takagi-Sugeno Controller Adam Krzysztof Pilat,Hubert Milanowski,Rafal Bieszczad,Bartiomiej Sikora Pilat, A.K., Milanowski, H., Bieszczad, R., Sikora, B. (2023). Configurable Dynamics of Electromagnetic Suspension by Fuzzy Takagi-Sugeno Controller. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 708. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35170-9_29 Pages 305-319
Abstract:
This elaboration presents the synthesis of the Takagi-Sugeno type Fuzzy Logic controller realizing the programmable parameters of the state feedback controller together with the steady state current for the active magnetic levitation system. Closed-loop dynamics was calculated precisely with respect to the requested dynamics. Two cases were considered: fixed- and variable-closed-loop dynamics. The Fuzzy Logic Controller was considered under four scenarios with linear, nonlinear, and constant in-range output. The study was supported by simulations and experimental investigations. The position of the levitating sphere stands as an illustration of the system in operation.

Calibration of a High Sampling Frequency MEMS-Based Vibration Measurement System Muhammad Ahsan,Dariusz Bismor Ahsan, M., Bismor, D. (2023). Calibration of a High Sampling Frequency MEMS-Based Vibration Measurement System. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 708. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35170-9_28 Pages 294-302
Abstract:
Vibration characteristics of a low-cost measurement system based on the ADXL100x micro-electromechanical system (MEMS) sensors are presented in this paper. The discussed measurement system consists of two ADXL100x MEMS accelerometers, interfaced with a BeagleBone Black microcontroller. The accelerometers were mounted on a vibration exciter equipped with a reference accelerometer. The vibration exciter was feeded using a function generator with various frequencies and acceleration signals. Vibration characteristics were investigated by comparing reference and recorded frequencies, sensitivity illustration over various frequencies, and sensitivity effects on different accelerations. The results demonstrate that the ADXL100x MEMS sensor is efficient and suitable for high-sensitivity applications.
Problems of Using Eddy Current Arrays NDT Iuliia Lysenko,Yuriy Kuts,Valentyn Uchanin,Yordan Mirchev,Alexander Alexiev Lysenko, I., Kuts, Y., Uchanin, V., Mirchev, Y., Alexiev, A. (2023). Problems of Using Eddy Current Arrays NDT. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 708. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35170-9_27 Pages 287-293
Abstract:
Eddy current arrays (ECAs) have become increasingly popular in non-destructive testing (NDT) due to their ability to provide fast and accurate inspection results. However, like any other NDT method, ECAs have their limitations and drawbacks. This article discusses some of the problems associated with using ECAs for NDT, including the effect of array size and geometry on inspection performance, the influence of material properties on signal interpretation, and the challenge of optimizing inspection parameters for different inspection scenarios. The article also highlights recent advances in ECA technology that aim to overcome some of these problems, including the use of advanced signal processing techniques and the development of novel array designs. Overall, this article provides a comprehensive overview of the challenges associated with using ECAs for NDT and offers insights into the future directions of ECA research and development.
Attitude Control of an Earth Observation Satellite with a Solar Panel Zbigniew Emirsajłow,orcid.org/0000-0002-8951-4213,Tomasz Barciński,orcid.org/0000-0001-6840-953X,Nikola Bukowiecka,orcid.org/0000-0003-1129-5310 Emirsajłow, Z., Barciński, T., Bukowiecka, N. (2023). Attitude Control of an Earth Observation Satellite with a Solar Panel. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 708. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35170-9_37 Pages 393-402
Abstract:
The paper studies the problem of controlling the orientation of an Earth observation satellite with a single solar panel. For a simplified model of a satellite we develop a control algorithm which allows to asymptotically track a harmonically changing reference signal. As a mathematical tool we employ the general regulation theory. The obtained theoretical results are successfully tested on a numerical example.
Integration of Fault-Tolerant Design and Fault-Tolerant Control of Automated Guided Vehicles Ralf Stetter,Marcin Witczak Stetter, R., Witczak, M. (2023). Integration of Fault-Tolerant Design and Fault-Tolerant Control of Automated Guided Vehicles. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 708. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35170-9_26 Pages 277-286
Abstract:
Both fault-tolerant design (FTD) and fault-tolerant control (FTC) are receiving increasing attention from the scientific community. Both intend to develop and implement solutions for accommodating faults which are inevitable in complex technical systems. However, up to no, little scientific activity was aimed at integrating those two promising approaches. This paper describes a detailed investigation of common aspects and interfaces between FTD and FTC as well as a sensible combined process. This investigation was based on the development of automated guided vehicles (AGVs) together with the appropriate control and diagnosis algorithms and systems.
Power Quality Issues of Photovoltaic Stations in Electric Grids and Control of Main Parameters Electromagnetic Compatibility Yaroslav Batsala,Ivan Hlad Batsala, Y., Hlad, I. (2023). Power Quality Issues of Photovoltaic Stations in Electric Grids and Control of Main Parameters Electromagnetic Compatibility. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 708. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35170-9_25 Pages 269-276
Abstract:
This article presents the results of research on the influence of photovoltaic stations on the quality of electricity in low-voltage networks. The use of hybrid electric networks with combination of AC and DC is proposed. We proposed two main stages of the survey before changing the configuration of the electricity network: Forecasting electricity generation by a photovoltaic power station with monitoring of energy parameters and using power quality analyzers to control several indicators. On the basis of the obtained researches it is proposed to make the analysis on indicators total harmonious distortion and reactive capacity.
Enhancing Power Generation Efficiency of Piezoelectric Energy Harvesting Systems: A Performance Analysis Bartłomiej Ambrożkiewicz,orcid.org/0000-0002-8288-5230,Zbigniew Czyż,orcid.org/0000-0003-2281-1149,Paweł Stączek,orcid.org/0000-0003-0906-7917,Jakub Anczarski,Mikołaj Jachowicz Ambrożkiewicz, B., Czyż, Z., Stączek, P., Anczarski, J., Jachowicz, M. (2023). Enhancing Power Generation Efficiency of Piezoelectric Energy Harvesting Systems: A Performance Analysis. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 708. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35170-9_24 Pages 261-268
Abstract:
This study is aimed to analyze a piezoelectric energy harvesting system made of a smart lead zirconate material applied to the hybrid excitation in the form of mechanical vibrations and airflow. The system utilized a monolithic PZT plate composed of ceramic-based piezoelectric material, under its bending, the voltage is generated. In the experiment, a specialized measurement system based on Arduino and wind tunnel were used to conduct the tests on a bluff-body shape mounted on an elastic beam with a piezoelectric attached to a support with arms. The elastic beam and arms were linked with springs, that change the internal characteristic frequency of the energy harvester. The air-flow velocity and forced vibration frequencies were varied, and the output voltage signal and linear accelerations were recorded during the variable excitation. The effect study is the conclusion that the system’s highest voltage efficiency was achieved through a combination of mechanical vibrations and air flow. Additionally, the study generated the correlation between the RMS voltage as a function of the air-flow velocity for resonance excitation frequencies. In the study, the area where the system could generate the highest output voltage under given excitation conditions was investigated. The above-described comparative analysis is conducted for two research objects differing in their mass. The proposed energy harvesting system concept can be used as a power supply for low-power consumption sensors.
Active Noise Control with Passive Error Signal Shaping - A Critical Case Study Małgorzata I. Michalczyk,orcid.org/0000-0001-7162-5647 Michalczyk, M.I. (2023). Active Noise Control with Passive Error Signal Shaping - A Critical Case Study. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 708. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35170-9_20 Pages 216-224
Abstract:
In the paper an application of passive residual error signal shaping in active noise control (ANC) system is revisited. The shaping band-pass filter was designed to attenuate some frequency range of the disturbance (denoted by the shaping filter pass-band) and exclude some frequency range of the disturbance (denoted by the shaping filter stop-band) from operation of the internal model ANC system using the filtered-x least mean squares algorithm. The simulations results show that depending on the time horizon the algorithm may attenuate the disturbance in the whole frequency range. Thus, it can be impossible to exclude a frequency range from the adaptive ANC system operation by means of the shaping filter. This means that passive residual error signal shaping in adaptive ANC systems does not work as expected.
A Multiple Actuator and Sensor Fault Estimation for Dynamic Systems Marcin Pazera,orcid.org/0000-0003-2469-7570,Marcin Witczak,orcid.org/0000-0002-0031-0004,Józef Korbicz,orcid.org/0000-0001-8688-3497 Pazera, M., Witczak, M., Korbicz, J. (2023). A Multiple Actuator and Sensor Fault Estimation for Dynamic Systems. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 708. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35170-9_23 Pages 250-260
Abstract:
The paper deals with the problem of simultaneous actuator and sensor fault estimation for linear dynamic systems on which influence unknown exogenous disturbances. The most common approach of dealing with fault estimation approach is that either actuator or sensor fault estimation schemes are provided in the literature. This paper proposes a kind of a fusion of those approaches which results with the capability of estimation of actuator and sensor faults which might appear in the system simultaneously. The novelty relies on that the unwelcome rate of change of the fault factor is vanished which simplifies the design problem. The methodology utilized in the paper to attain the robustness is the so-called Quadratic boundedness approach. In the final part of the paper, the illustrative example with the implementation to the laboratory Multi-Tank system is provided which shows the performance of the proposed approach.
Neural Network Based Active Fault Diagnosis with a Statistical Test Ivo Punčochář,Ladislav Král Punčochář, I., Král, L. (2023). Neural Network Based Active Fault Diagnosis with a Statistical Test. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 708. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35170-9_21 Pages 227-236
Abstract:
The paper focuses on designing an active fault detector (AFD) for a non-linear stochastic system subject to abrupt faults. The neural network (NN) based models of the monitored system and their prediction error uncertainties are identified using historical input-output data obtained from the system under fault-free and all considered faulty conditions. The fault detector is based on a multiple hypothesis CUSUM-like statistical test that uses the identified NN models. The quality of decisions provided by such a detector is improved by a closed loop input signal generator. The input signal generator is represented by another NN and it is designed using a reinforcement learning method. The proposed AFD is illustrated by means of a numerical example.
Fault-Tolerant Fast Power Tracking Control for Wind Turbines Above Rated Wind Speed Horst Schulte,Nico Goldschmidt Schulte, H., Goldschmidt, N. (2023). Fault-Tolerant Fast Power Tracking Control for Wind Turbines Above Rated Wind Speed. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 708. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35170-9_22 Pages 237-249
Abstract:
This paper proposes a model-based fault-tolerant control system for wind turbines with power tracking above the rated wind speed. Due to the increasing share of renewable energy sources such as wind turbines in power systems, the latter must provide fast power tracking for frequency control. So far, these power-tracking control systems are not yet equipped with fault-tolerance characteristics. Therefore, an fault-tolerant control design using a reconfiguration block is proposed. In the reconfiguration block, a proportional-multi-integral observer calculates actuator faults if such faults should occur and eliminates their influence on the rated power tracking controller. An analytical model-based design method for the reconfiguration block is presented in detail. System simulations are used to show how this will improve the reliability of future power-tracking wind turbines.
New Metrics of Fault Distinguishability Jan Maciej Kościelny,Michał Bartyś Kościelny, J.M., Bartyś, M. (2023). New Metrics of Fault Distinguishability. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 708. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35170-9_19 Pages 205-215
Abstract:
This paper addresses the problem of assessing fault distinguishability of faults. Fault distinguishability is understood as the ability of a diagnostic system to isolate faults. The objective of diagnosis is the early detection and accurate isolation of the faults that have occurred. The accuracy of diagnosis depends on the fault distinguishability achieved. The problem of assessing the fault distinguishability is therefore extremely important. This provides an opportunity to compare the effectiveness and assess the quality of different solutions of a diagnostic system. This paper proposes two new metrics for fault distinguishability assessment, providing the possibility to evaluate and compare the performance of fault isolation carried out based on both signatures or symptoms with both binary or trinary diagnostic signal values. The proposed metrics allow analysis of fault distinguishability for all diagnostic inference approaches based on Fault Signature Matrix as well on Fault Isolation System.

Evaluating Hydrodynamic Indices of the Underground Gas Storage Operation Based upon a Two-Phase Filtration Model Ivan Sadovenko,orcid.org/0000-0001-5324-9836,Olexander Inkin,orcid.org/0000-0003-3401-9386,Nataliia Dereviahina,orcid.org/0000-0001-5584-8592 Sadovenko, I., Inkin, O., Dereviahina, N. (2023). Evaluating Hydrodynamic Indices of the Underground Gas Storage Operation Based upon a Two-Phase Filtration Model. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 708. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35170-9_18 Pages 193-204
Abstract:
The research objective is to develop and test mathematical model of gas storage in the layered aquifer with poorly permeable interlayer if plane-parallel and axisymmetric filtration takes place. The paper evaluates the gas-hydrodynamic operational indices of the underground gas storages within aquifers in the South East Ukraine. Comprehensive approach has been applied involving collection, systematization, and analysis of actual data on filtration and physicomechanical properties of enclosing rocks impacting formation of natural and technogenic deposits as well as analytical and numerical methods to solve equations of the gas-water contact shift under different conditions. A gas-hydrodynamic model of underground gas storage within the nonuniform aquifer has been substantiated to calculate its cyclic operation in the three-layered seam taking into consideration crossflows through a poorly permeable stopping. The calculation results show significant impact of characteristics of the layered porous environment on the gas water contact transfer through certain seams. The derived new technique linearizing a system of differential equations to identify pressure within a reservoir is generalization of the earlier applied procedures with introduction of ‘boundary schemes’. The calculation results demonstrate significant impact of the layered porous environment on the gas water contact transfer through certain seams. The findings may be applied while making evaluations at the stage of gas storage design within aquifers.
Physics-Informed Hybrid Neural Network Model for MPC: A Fuzzy Approach Krzysztof Zarzycki,Maciej Ławryńczuk Zarzycki, K., Ławryńczuk, M. (2023). Physics-Informed Hybrid Neural Network Model for MPC: A Fuzzy Approach. In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 708. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35170-9_17 Pages 183-192
Abstract:
In practice, data from the process typically can be collected only for limited ranges of the entire area of process operation, which limits the quality of data-driven models. On the other hand, a fundamental process model may be available but flawed due to measurement noise or immeasurable model parameters. We recommend the described Physics-Informed Hybrid Neural Network (PIHNN) model to model the process precisely. It is comprised of a series of black-box sub-models; we use Gated Recurrent Unit networks (GRU) in this role. Neural and fundamental sub-models are combined using a fuzzy data fusion block. We report the model development procedure for a benchmark pH reactor and show that the model gives very good accuracy. Finally, the PIHNN model is implemented in a Model Predictive Control algorithm.
Mathematical Calculation of the Boundary Conditions for the Formation of Heavy Metals Chalcogenides Poorly Soluble Compounds (Zn, Cd, Hg) Ruslana R. Guminilovych,Vitalii Y. Stadnik,Pavlo Y. Shapoval,Martyn A. Sozanskyi,Liliya R. Deva Guminilovych, R.R., Stadnik, V.Y., Shapoval, P.Y., Sozanskyi, M.A., Deva, L.R. (2023). Mathematical Calculation of the Boundary Conditions for the Formation of Heavy Metals Chalcogenides Poorly Soluble Compounds (Zn, Cd, Hg). In: Pawelczyk, M., Bismor, D., Ogonowski, S., Kacprzyk, J. (eds) Advanced, Contemporary Control. PCC 2023. Lecture Notes in Networks and Systems, vol 709. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-35173-0_17 Pages 165-181
Abstract:
Based on thermodynamic constants, the concentration limits of the initial substances and the range of pH values, at which deposition of heavy metals chalcogenides films without impurities of by-products is possible, were calculated. The boundary conditions of the formation of low soluble forms of the zinc subgroup metals chalcogenides have been calculated. The choice of the working solutions components for the sulfides and selenides thin films of metals (Zn, Cd, Hg) synthesis by the deposition method from aqueous solutions is substantiated. The problem of complex intermolecular interactions in the volume of the working solution between complexed metal ions and the chalcogenizer was solved based on mathematical calculations. Based on the calculations, a reasoned selection of the optimal conditions for the synthesis of thin films, especially the working solution’s qualitative and quantitative composition, was made for their further use in semiconductor electronics.
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