Keynote Speakers
Following distinguished researchers confirmed keynote speeches during WZEE ‘2021
Professor Jacek Kluska
Department of Computer and Control Engineering
35-959 Rzeszów, Al. Powstańców Warszawy 12, Poland
TITLE “INTELLIGENT CONTROL AND MACHINE LEARNING BASED DIAGNOSTIC SYSTEMS DESIGN”
Biography
Jacek Kluska is a Full Professor at the Rzeszow University of Technology. He earned his M.Sc. (Eng.) at Wroclaw University of Technology, Wroclaw, Poland, in 1977, and his Ph.D. in technical cybernetics from the same university in 1983. In 1995, Dr. J. Kluska became an Associate Professor, and in 2010, a Full Professor with the Department of Electrical and Computer Engineering, Rzeszów University of Technology, Rzeszów, Poland. In 1996-2002 he was vice-Dean of Faculty of Electrical Engineering and Computer Science, and in 2005-2012, the vice-President for Research of Rzeszow University of Technology. He made short visits to several European universities, including the University of Covilha (Portugal), University of Birmingham (Great Britain), University of Sevilla (Spain), National Technical University of Athens (Greece), University of Bielefeld (Germany), University of Florence (Italy). He is also a member of Editorial Boards of Applied Mathematics and Computer Science journal. Dr. Jacek Kluska is currently Chairman of the Intelligent Systems Section at the Committee on Automatic Control and Robotics of the Polish Academy of Sciences (PAS) and the second Vice-Chairman of the Scientific Council of the Institute of Systems Research of the PAS. His research interests include stability analysis of fuzzy control systems, fuzzy modeling and control, fuzzy Petri nets, computational intelligence, and machine learning methods, especially in technical and medical diagnostics.
Abstract: The purpose of this presentation is to highlight some of the possibilities of using computational intelligence methods in automation that use fuzzy logic and machine learning algorithms. Examples of applications of the mentioned methods in adaptive control of continuous single-loop systems, control using Petri nets in automation systems, and application of machine learning algorithms for diagnostics of manufacturing processes. The methods and examples were developed in the author’s research environment.
Methods for designing a fuzzy adaptive controller with the output feedback and the state vector feedback of a linear partially-known dynamic plant, in the continuous case, will be discussed. The procedures use results from frequency domain/absolute stability and analytical methods in fuzzy systems modeling. As a result of their application, we obtain easily interpretable rules of a fuzzy controller that minimizes a given quality index. The process of the controller design can often be completely automated.
In complex industrial processes, which can be decomposed into many parallel sub-processes, fuzzy Petri nets can be used because of their natural logical and graphical interpretation and good mathematical foundations. These networks can process both binary and analog signals, act as control systems, monitoring, and even diagnostics. They are also suitable for implementation using FPGAs, which are low cost and guarantee the highest operating speed.
Applications of some machine learning methods, mainly classifiers (neural, genetic, based on support vector method and decision trees, minimal-distance methods, and others) for machine condition diagnosis, including anomaly detection, will be discussed. The topics discussed will be mainly related to the idea of Industry 4.0. Preliminary results are promising. However, data obtained in industrial settings, e.g., for machines working in the aerospace industry) are usually “difficult”, i.e., they arrive in real-time, are big, often unbalanced, heavily disturbed, drifting, etc.), which raises new problems, not yet solved.
prof. dr hab. inż. Andrzej Demenko
Poznań University of Technology, Poland
TITLE: EQUIVALENCE OF FINITE DIFFERENCE, FINITE ELEMENT, FINITE INTEGRAL AND NETWORK METHODS IN COMPUTATIONAL ELECTROMAGNETICS
Bio: Andrzej Demenko (andrzej.demenko@put.poznan.pl) is a Full Professor in Poznan University of Technology, Poland. He received a Ph.D. degree from the above-mentioned University and a D.Sc. degree from the Institute of Electrical Engineering in Warsaw. Between 2011 and 2019 he was the Chairman of the Committee on Electrical Engineering of the Polish Academy of Sciences (PAN). Now he is a Vice-Chairman of this Committee. Since 1970 he has been employed in research and education. He has published books and papers on electromagnetics, electrical machines, numerical methods and applied physics. His main research area is the development of field methods of analysis and design of electrical machines and drives, e.g. methods of movement simulation in finite element space and methods of calculating forces and torques. He is also engaged in research on the progress of finite element and edge element methods. He is the Chairman of the Steering Committee of the Symposium on Electromagnetic Phenomena in Nonlinear Circuits, EPNC. He is the Editor-in-chief of the journal of the Polish Academy of Sciences titled ‘Archives of Electrical Engineering’. He is also a member of Editorial Boards of international journals, e.g. COMPEL, and a member of Steering or Editorial Committees of several prestigious conferences, e.g. Compumag, CEM, ISEF. He was awarded the title of an honorary professor of the Opole University of Technology and was honored with the degree of Doctor Honoris Causa of the Kielce University of Technology.
Abstract: The numerical 3D formulations using scalar Ω, V and vector A, T potentials for electromagnetic fields at low frequency will be discussed. The focus will be on the Finite Difference Method (FDM), Finite Integration Technique (FIT) and Finite Element Method (FEM) using nodal and edge elements, as well as the Multi-Branch Electric and Magnetic Network Models (MBNMs) will also be considered. It has been shown that FDM, FIT and FEM equations may be described in a form similar to the circuit equations of the MBNM. The difference is only in the formulas that describe the coefficients of the discussed equations and in the distribution of network nodes. In the discussion on the equivalence of the considered methods, it was noted that the equations usually obtained via a variational approach may be more conveniently derived using integral methods employing a geometrical description of the interpolating functions of edge and facet finite elements. A language of circuit theory will be used to explain the FDM, FIT, FEM and MBNM. For the vector potential A, T formulations, the equations of the FEM, FIT and FDM represent the loop (mesh) equations of the MBBM for loops around the element edges. However, for the scalar potentials Ω, V these equations are analogous to the nodal equations of an equivalent MBBM.
Equivalent MBBM models allow one to create new, effective procedures in computational electromagnetics. For these models, a description of multiply connected windings in finite element space using edge values of the vector potential T0 may be explained as the classical mmf distribution formulation. New procedures of simulating movement and calculating equivalent values of electromagnetic forces/torques using the FEM, FIT, FDM can be formed.
In the presentation, the selected comparisons will be made between the results obtained using the different methods for both scalar and vector potential formulations. It will be shown that the analogies between the FEM, FIT, FDM and Multi-Branch Electric and Magnetic Network Models have been found very helpful in teaching, especially if students are already familiar with one of the methods; this will be particularly important when those field methods are introduced to students already conversant with circuit theory.
Professor Jan Sykulski
FIEEE FIET FInstP FBCS Dr h.c. Editor IEEE Trans. on Magnetics, Editor-in-Chief IET SMT,
Editor-in-Chief COMPEL, Electronics and Computer Science, (University of Southampton
Southampton, SO17 1BJ, United Kingdom)
TITLE: “ADVANCES AND TRENDS IN DESIGN OPTIMISATION”.
Jan K. Sykulski (Fellow, IEEE) is currently a Professor of applied electromagnetics with the University of Southampton, Southampton, U.K. He is also a Visiting Professor at universities in Canada, France, Italy, Poland, and China. He has published more than 430 scientific articles and coauthored four books. His personal research is in the development of fundamental methods of computational electromagnetics, power applications of high-temperature superconductivity, simulation of coupled field systems, and design and optimization of electromechanical devices.,Prof. Sykulski is a fellow of the Institution of Engineering and Technology (IET), the Institute of Physics (IoP), the British Computer Society (BCS), and the Doctor Honoris Causa of Universite d’Artois, France. He has an honorary title of Professor awarded by the President of Poland. He is also the Founding Secretary of the International Compumag Society, an Editor of IEEE Transactions on Magnetics, the Editor-in-Chief of IET Science, Measurement & Technology and COMPEL (Emerald), and a member of the International Steering Committees of several international conferences.
Professor Lech M. Grzesiak, (Dean of Faculty of Electrical Engineering
Warsaw University of Technology)
TITLE: „ELECTRIC POWERTRAIN SYSTEMS, THE EVOLUTION OF TECHNOLOGY”
Prof. Lech M. Grzesiak received the M.Sc., Ph.D. and D.Sc. degrees in electrical engineering from Warsaw University of Technology. He is currently a Full Professor and holds the position of Dean of the Faculty of Electrical Engineering at the Warsaw University of Technology. In the years 2013-2020 he was the Head of Electric Drive Department. Previously, he was the Deputy Director for Science (1991-2008), and then the Director of the Institute of Control and Industrial Electronics (2008-2012). He was Co-Director of the Center of Excellence (2003-2005) – “Power Electronics Intelligent Control for Energy Conservation – PELINCEC”. In the years 2004-2012 he also was employed as associate professor at the Institute of Physics of the Nicolaus Copernicus University in Toruń. He completed long-term internships at ETH Zuerich, RWTH Aachen, University of Pretoria. Currently, he also cooperates with the Department of Mech. & Aerospace Engineering, Carleton University in Canada and Bern University of Applied Sciences, BFH-CSEM Energy Storage Research Center, Biel, Switzerland.
For many years he was an Associate Editor of the IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS and currently is an Associate Editor of the IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS.
Abstract: Electrically powered vehicles were already built and used over 100 years ago.
The production of electric cars was practically discontinued after Ford started producing cars with an internal combustion engine (early 20th century). The new era of electric cars marks the beginning of the 21st century. The last few years have seen beginning of the mass production of electric vehicles (EV).
The presentation concerned the issues of electric drive systems in already manufactured electric vehicles and presents the current state of scientific research related to the development of new technologies in the field of electrical machines and power electronic converters.
Electric powertrain systems consist of an energy storage, an electric power electronics converter and a control system that allows you to regulate the torque and speed of the drive motor.
There are different structures of powertrain systems that differ in the type of electrical machine and the topology of power electronics converter. The most commonly used are permanent magnet synchronous machines (PMSM), which are characterized by a high ratio of torque density to volume and mass. Their unquestionable advantage is their high efficiency. Squirrel-cage induction motors (e.g. Tesla S) or synchronous motor with electromagnetic excitation (e.g. Renault Zoe) are also used.
Expected limitations in access to rare earth elements (components of permanent magnets) have led research centers around the world to work on new designs of electric machines for electric vehicles. In particular, IPM-SynRM machines (e.g. Tesla 3) are developed and built that use reluctance torque and electromagnetic torque. Structurally simple and cheap switchable reluctance machines SRM and synchronous reluctance machines SynRM are also being improved.
In addition to the electric machine and the source (energy storage), the power electronics converter is important as a component that affects the efficiency and properties of the drive system. Converters should be characterized by high efficiency and overload capacity, which will ensure a sufficiently high dynamics of the drive system. Currently, IGBTs (silicon technology) are mainly used. In recent years, there has been a significant development of devices based on wide-bandgap semiconductors. Wide-bandgap semiconductors permit devices to operate at much higher voltages, frequencies, and temperatures than conventional semiconductor materials like silicon. It can be predicted that they will be a foundational technology in new, the robust and efficient, power electronic converters used in electric vehicles. Silicon carbide (SiC) or gallium nitride (GAN) transistors will be widely used.
There are several significantly different concepts of traction drives. Single or multi-motors solutions are used. The most common are constructions with a high-speed machine and a mechanical transmission. Also interesting are the results of work on direct drives without an additional mechanical transmission (e.g. motors located in wheels).
Important research issues also concern advanced structures and control methods. The automatic controls system should provide precise traction control (analogous to ABS and DTC) as well the management of energy flow during motor and regenerative braking operation.
prof. dr hab. inż. Mariusz Malinowski (Warsaw University of Technology, Poland)
TITLE: FAULT TOLERANT SMART TRANSFORMER IN DISTRIBUTED ENERGY SYSTEMS – OPPORTUNITIES AND CHALLENGES
Bio: Mariusz Malinowski (Fellow, IEEE) received the Ph.D. and D.Sc. degrees in electrical engineering from the Institute of Control and Industrial Electronics, Warsaw University of Technology (WUT), Warsaw, Poland, in 2001 and 2012, respectively. He was a Visiting Scholar at Aalborg University, Aalborg, Denmark; the University of Nevada, Reno, NV, USA; the Technical University of Berlin, Berlin, Germany; and ETH Zurich, Zurich, Switzerland. He is currently with the Institute of Control and Industrial Electronics, WUT. His current research interests include control and modulation of grid-side converters, multilevel converters, smart grids, and power generation systems based on renewable energies. He has co-authored over 130 technical papers and six books. He holds two implemented patents. Prof. Malinowski was the recipient of the Siemens Prize in 2002 and 2007; the WUT President Scientific Prize in 2015; the Polish Minister of Science and the Higher Education Awards in 2003 and 2008; the Prime Minister of Poland Award for Habilitation in 2013; and the IEEE Industrial Electronics Society (IES) David Irwin Early Career Award in 2011 and Bimal Bose Energy Systems Award in 2015. His industry application received several awards and medals, the Innovation Exhibition in Geneva in 2006 and the Exhibition in Brussels “Eureco” in 2006.
Abstract: The fast development of distributed generation systems (DGS), including increasing number of the renewable energy sources (RES) demand the change of classical grid into smart grids (SG) integrating all new distributed elements e.g. active loads/sources/energy storages. Currently used conventional transformer cannot fulfil all requirements of SG and therefore new solution is demanded due to the nature of extremely different types of energy sources, loads and frequent voltage disturbances occurring in DGS. The proposed modern solution is the application of multifunctional power electronics fault tolerant Smart Transformer (ST) that is able to not only meet main requirements of SG, but also respond to the future challenges, defined by the constant progress of technology in all new fields (e.g. electromobility, energy store systems etc.).
Mariusz Węglarski, PhD, Eng., Associate Prof. has been associated with the Rzeszów University of Technology from the beginning of his professional career.
TITLE: SYNTHESIS OF RFID SENSORS FOR MONITORING PHOTOVOLTAIC MODULES INTEGRATED WITH GLASS PANELS
MARIUSZ WĘGLARSKI, Piotr Jankowski-Mihułowicz, Kazimierz Kamuda, Grzegorz Pitera, Wojciech Lichoń, Mateusz Chamera, Patryk Pyt
Since 1996, he has been working at the Department of Electronic and Communications Systems at the Faculty of Electrical and Computer Engineering: Trainee Assistant (1995/1996), Assistant (1996-2005), Assistant Professor (2005-2019), Associate Professor (since 2019). He graduated (MSc) in the specialization of electronic devices from the Faculty of Electrical Engineering. He defended his PhD in the field of electrical engineering with the dissertation “Thermal properties determination in the thick-film microcircuit components on the base of dynamic changes identification in the temperature field“. He received the post-doctoral degree of doctor habilitated in the field of engineering and technology in the discipline automation, electronic and electrical engineering on the basis of the scientific achievement entitled “Factors Affecting the Synthesis of Autonomous Semi-passive RFID Transponders-Sensors”. His research interests mainly concern hybrid electronics and microsystem technology, analysis of temperature fields, technology of RFID devices and their practical applications. He is the author or co-author of over 100 scientific publications and 4 patents. He participated in over 30 research projects granted by ministry, industry, domestic and foreign institutions.
Abstract
The paper focuses on the synthesis of semi-passive RFID transponder-sensor that is dedicated to integrate with active glass panels with build-in photovoltaic cells in order to perform diagnostic tasks. The designed construction should be able to be implemented at various stages of the product life cycle: production, distribution, storage, installation, common operation, service/maintenance and disposal. In the presented research work, particular attention is paid to several aspects of the RFID sensor synthesis: using the energy generated periodically in the PV cells to power the monitoring device acting permanently; specification of the PV panels parameters which have to be monitored in diagnostic process; implementation of data acquisition and energy management model in an electrical circuit; wireless data transfer to the master unit (monitoring host), even in the absence of power supply (e.g. panel damage, blackout), by using a standardized communication protocol of the RFID technique; design of the antenna system, taking into consideration limitations of electronic technology as well as properties of substrate and glass panel materials.
As the results of the investigations, the modular structure of the RFID sensor demonstrator is proposed. It is divided into two main parts: radio identification module and measurement module with data acquisition block and physical quantity sensors.
BRUSHLESS DC DRIVE SYSTEM BASED ON DUAL THREE-PHASE FRACTIONAL SLOT AND CONCENTRATED WINDING CONFIGURATION SURFACE PM MOTOR.
Ihor Shchur, Oleksandr Makarchuk, Ihor Bilyakovskyy, Lidiia Kasha, Volodmyr Koziy, Valentyn Turkovskyi
Lviv Polytechnic National University Institute of of Power Engineering and Control Systems
Lviv,Ukraine
a) Publication Topics
supercapacitors,DC-DC power convertors,control system synthesis,energy management systems,voltage control,damping,electric vehicles,nonlinear control systems,secondary cells,DC motor drives,angular velocity control,brushless DC motors,energy storage,hybrid power systems,invertors,machine control,machine vector control,permanent magnet motors,photovoltaic power systems,power transmission (mechanical),rotors,synchronous motors,torque control,HVDC power convertors,Matlab
Abstract: In recent years, significant efforts have been made to change the situation in the direction of reducing air pollution from transport. In particular, electrification technologies for vehicles, including electric vehicles (EV), are increasingly being used, given the use of electricity generated from renewable energy sources. As EVs become a key trend in the development of mobile vehicles, their important requirements are high energy efficiency and reliability [1].
These two indicators can be significantly increased by applying a modular approach in the construction of power supplies, power converters and electric machines themselves [2]. Among the latter, there are multiphase electric machines, which have become the subject of considerable interest over the past decade [3]. One of the new promising solutions in this direction is the use of separate groups, often dual, of three-phase (DTP) windings, which are connected to separate two-level voltage inverters powered by separate modules of onboard power supplies [2]. The vectors of magnetomotive forces (MMF) of these windings coincide in direction or are shifted by a certain angle. Compared to traditional drives with one three-phase winding, DTP motor drives are inherently fault tolerant, because a failure of one of the modules does not result in complete loss of control of a vehicle. The advantages of this configuration also include: reduced torque ripple, in particular, elimination of the sixth harmonic pulsating in the torque, lower content of current harmonics in the DC link, reduced power per phase at the same voltage in the power supply, potentially higher efficiency. Until recently, such an implementation of the power scheme was used only in powerful asynchronous electric drives of medium voltage. However, recently such configuration has spread on DTP synchronous machines with permanent magnets (PMSM), including small and medium power, as evidenced by the successful use of such PMSM as a profitable alternative in wind energy conversion systems and EVs.