Keynote Speakers
IWED 2022
Miroslav VasicUniversidad Politecnica de Madrid Madrid, Spain Miroslav Vasić (Senior Member, IEEE) was born in Serbia, in 1981. He received the B.E. degree from the University of Belgrade, Belgrade, Serbia, in 2005, and the M.S. and Ph.D. degrees from the Universidad Politécnica de Madrid (UPM), Madrid, Spain, in 2007 and 2010, respectively. He is currently an Associate Professor at UPM. He has advised four Ph.D. thesis. He has authored or coauthored more than 75 articles in the IEEE journals and conferences. He holds five patents. His areas of interests include DC-DC converters, power converters for R.F. applications, and converter topologies optimization. He received the SEMIKRON Innovation Award for the teamwork on “R.F. Power Amplifier with Increased Efficiency and Bandwidth,” in 2012. In 2015, he received a Medal from the Spanish Royal Academy of Engineering for his research trajectory as a Young Researcher. In 2016, he received the Best Young Researcher Award from UPM. Miroslav actively serves as an Associated Editor in IEEE Journal of Emerging and Selected Topics in Power Electronics and IEEE Transactions on Vehicular Technology. Since 2021 he acts as the Vice-chair of the IEEE PELS TC 10- Design Methodologies. Topic: GaN MHz Power Conversion: Faster, Smaller and Tougher Abstract: |
Moumita DasIndian Institute of technology Mandi Kamand, India Moumita Das (M’19) received Ph.D. degree in the department of electrical engineering from the Indian Institute of Technology Bombay, Mumbai, India, in 2016. After PhD, she has done postdoctoral research in the School of Electrical and Electronics Engineering, University of Manchester, Manchester, U.K, and Mid Sweden University, Sweden. Topic: WBG-Devices on Modern Power Electronics and Electric Drives Abstract: |
Alecksey AnuchinMoscow Power Engineering Institute Moscow, Russia Alecksey Anuchin (Senior Member, IEEE) received the B.Sc., M.Sc., Ph.D., and Dr.Eng.Sc. degrees from the Moscow Power Engineering Institute, Moscow, Russia, in 1999, 2001, 2004, and 2018, respectively. He delivers lectures on “control systems of electric drives,” “real-time software design,” “electric drives,” and “science research writing” at the Moscow Power Engineering Institute. He has been in a head position with the Electric Drives Department for the last ten years. He has more than 20 years of experience covering control systems of electric drives, hybrid powertrains, and real-time communications. He has authored or coauthored more than 100 conference and journal papers. Topic: Exploring Inverter Topologies for Machine-tool Drives Abstract: The presentation shows two projects, which were carried out for machine-tool industry. First is the spindle drive based on 3-level inverter topology able to reach 30000 rpm with the rated power up to 40 kW. The inverter unit has premium efficiency even at 16 kHz pulse-width modulation frequency. It can be used as active front-end as well with a help of a line filter. Losses and performance of the proposed solution is compared with conventional 2-level power converters considering pross and cons of both implementations. Second project is considering implementation of a servo amplifier based on GaN switches. The problems of high dv/dt, high delay in the current measurement and reliability issues were investigated. It was shown that novel inverter topologies and solutions can bring strong benefits to the market of machine-tool drives. |
Oleksandr HusevTallinn University of Technology Tallinn, Estonia Oleksandr Husev (S’10–M’12-SM’19) received the B.Sc. and M.Sc. degrees in industrial electronics from Chernihiv State Technological University, Chernihiv, Ukraine, in 2007 and 2008 respectively. He defended PhD thesis in the Institute of Electrodynamics of the National Academy of Science of Ukraine in 2012. Topic: Impedance-Source Networks: Features, Benefits and Challenges for Industrial Application Abstract: |
Mikhail ChervinskyCree/Wolfspeed Moscow, Russia Mikhail Chervinsky was born in Russia, in 1984. He received the M.S. degree from the Peter the Great St.Petersburg Polytechnic University (spbstu.ru), in 2007. He is currently an Field Application Engineer in Wolfspeed company. His areas of interests include WBG semiconductors, power converters and R.F. applications. Topic: Benefits of SiC Semiconductor Devices for Traction Applications Abstract: |
IWED 2021
Fernando BrizUniversity of Oviedo Oviedo, Spain M.S. and Ph.D. degrees from the University of Oviedo in 1990 and 1996 respectively. Currently Full Professor in the Department of Electrical, Electronics, Computer and Systems Engineering, University of Oviedo. He is author/co-author of >80 journal papers and >200 conference papers, mostly within IEEE in the fields of electric drives and power converteres. He has been project manager of >60 projects, both public funded (European and national) and in colaboration with industry, and holds four international patents. He is recipient of an IEEE Transactions on Industry Applications Prize Paper Award and ten IEEE conferences paper awards. He has been an Officer of IEEE Industry Applications Society (IAS)– Industrial Drives Committee since 2012 and past Chair for the period 2018-2019. Currently he is Vice-chair for the IAS-Industrial Power Conversion System Department (IPCSD). He has been Vice-chair for Drives at ECCE’12 to ECCE’15 and ECCE’18 and Technical Program Chair for IEEE-IEMDC’19. He has served in scientific committess of several conferences, including IEMDC, ICEM, ICEMS and SLED. He is a member of the Steering Committee of IEEE Journal of Emerging and Selected Topics in Power Electronics (JESTPE) and Associate Editor of IAS and JESTPE Transactions. His research interests include electric drives with special focus on traction, electronic power converters (mainly grid-tied), control systems and digital signal processing. Topic: Self-sensing Control of AC Drives at Very Low and Zero Speed Abstract: The elimination of rotor position/velocity sensors (and cabling) in AC drives has long been desired, the methods developed to achieve this goal are commonly referred to as sensorelss control. Among the expected benefits of sensorless control are cost and size reduction, as well as increased robustness. Sensorless control techniques for AC machines that rely on the fundamental excitation are capable of providing high performance control in the medium- to high-speed range, but fail in the very low-speed range and/or for position control. Sensorless methods based on tracking the position of saliencies (asymmetries), measure the response of the machine when high-frequency excitation, which is superimposed to the fundamental excitation used for torque production, is applied. These methods have the capability of providing position/speed control in the low-speed range, including zero speed. Furthermore, the use of the information embedded in the high frequency signals offers interesting opportunities for the online monitoring of machine condition, eventually contributing to increase the reliability of the drive |
Alecksey AnuchinMoscow Power Engineering Institute Moscow, Russia Alecksey Anuchin (Senior Member, IEEE) received the B.Sc., M.Sc., Ph.D., and Dr.Eng.Sc. degrees from the Moscow Power Engineering Institute, Moscow, Russia, in 1999, 2001, 2004, and 2018, respectively. He delivers lectures on “control systems of electric drives,” “real-time software design,” “electric drives,” and “science research writing” at the Moscow Power Engineering Institute. He has been in a head position with the Electric Drives Department for the last ten years. He has more than 20 years of experience covering control systems of electric drives, hybrid powertrains, and real-time communications. He has authored or coauthored more than 100 conference and journal papers. Topic: Traction Electric Drives: Encoderless Operation and Active Thermal Control Abstract: |
Jörg KammermannTechnical University of Munich Munich, Germany Jörg Kammermann received his diploma (Dipl.-Ing.) in Electrical Engineering and Information Technology in 2011, as well as his doctoral degree (Dr.-Ing.) in Electrical and Computer Engineering in 2019, from Technical University of Munich (TUM) in Germany. From 2011 to 2016, he was research associate and since 2016, he is academic counselor with the Institute of Energy Conversion Technology at TUM. His research field includes the system analysis of electric vehicles based on application requirements, multiphase electric drives, and electric drives for safety-critical applications. Topic: Fault Tolerance Potential of Multiphase Electric Traction Drives Abstract: |
Anton RassõlkinTallinn University of Technology Tallinn, Estonia was born in Tallinn, Estonia, in 1985. He received the BSc, MSc, and PhD degrees in electric drives and power electronics from Tallinn University of Technology (Estonia) in 2008, 2010, and 2014, respectively. In 2010 he received a Dipl.-Ing. degree in automatic from the University of Applied Science Giessen-Friedberg (Germany). He has been working in several companies as an electrical engineer and universities as a lecturer. Internationally he has been working as a visiting researcher at the Institute for Competence in Auto Mobility (IKAM, Barleben, Germany), a visiting associate at Belarusian State Technological University (Minsk, Belarus). He serves as a visiting professor at the Faculty of Control Systems and Robotics at ITMO University (St. Petersburg, Russia) and a visiting professor at the Faculty of Electrical Engineering Department of Power Electronics, Electrical Drives and Robotics at Silesian University of Technology (Gliwice, Poland). Presently, he holds the position of professor in Mechatronics at the Department of Electrical Power Engineering and Mechatronics, School of Engineering, Tallinn University of Technology (TalTech). The main research interests are mechatronics and electrical drives, particularly for electric transportation, as well as autonomous vehicles. He is a member of IEEE (S’12-M’16-SM’20) and the Estonian Society of Moritz Hermann Jacobi. Topic: Possibility of Digital Twins Technology for Improving Reliability of the Electric Drive Abstract: |
Giulio CorradiXilinx GmbH Munich, Germany Principal Architect Industrial, Vision, Healthcare & Sciences Topic: Single Chip Design of mixed critical and high reliability motion systems with ZYNQ Ultrascale+ Abstract: Integration of components with high performance, high reliability and different levels of criticality onto a common hardware platform is becoming an outstanding requirement for the motion industry. Availability of new embedded devices integrating heterogeneous architectures with multi-core clusters, many cores with real-time capability and programmable logic is enabling design and implementation of mixed criticality system (MCS) the motion market. Reliability and safety plays a lion’s share in supporting the often hostile environment where motion systems are working. A plethora of standards the IEC 61508, ISO13849, IEC 62061, and EN 61800-5-2 are foundational for motion systems, and in addition to safety and reliability principles they require a large amount of other disciplines to harmonize mission critical (the drive and Motion PLC), safety critical, low criticality and scheduling for worst case execution time (WCET). Xilinx achieved successfully the qualification according to IEC61508 Annex E SIL3 and HFT = 1 for its ZYNQ Ultrascale+ single chip, making it possible to design motion systems fulfilling the new criticality requirements. The recent advancement of machine learning has opened the possibility of increasing the overall reliability of the entire machine not only the motion system using fault prediction. This talk explains the architectures, the certification elements of the single chip, the partition between many-core, multi-core, and programmable logic to address the different level of safety and criticality on single chip. The software implications with hypervisors, WCET, diagnostic, and security requirements are presented as well for realizing certified motion system needed by the industry today. The talk includes also elements of predictive maintenance using machine learning to provide a complete system. |