Keynote Speakers


Fernando Briz

University 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


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 Anuchin

Moscow 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

One of the promising types of electrical machines is DC excited synchronous motor. Recently only Renault used this machine in traction, and now BMW had introduced a new powertrain for the iX3 car. DC excited motors enable utilization of the traction motor as a rotary transformer replacing position encoder, which previously was a mandatory part of electrical traction machine. Synchronous homopolar motor is a machine with brushless DC excitation having a number of benefits in traction. The operation principle, equations, and sensorless control strategies for this motor will be introduced. The thermocycling problem is relevant to the traction electric drive, and the active thermal control helps to improve situation. The open-end winding topology of the traction motor will be considered as a promising solution enabling both fault-tolerant operation and thermal stabilization of the semiconducting devices regardless of the operation speed and mission profile.

Jörg Kammermann

Technical 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

The electrification of vehicles and their autonomous operation is a current topic. The resulting high requirements on reliability for safety-critical applications leads to the need of fault tolerance in order to provide fail-operational modes. One possibility to increase fault tolerance of electric traction drives is increasing the number of phases of the machine, since a performance degradation is possible while using multiple phases. The advantages of multiphase systems, the comparison of different phase numbers, and methods for an evaluation at an early stage will be presented within this keynote speech. It is shown that a higher phase number is not always the best choice regarding fault tolerance and reliability. This fact is depending on the performance demand after failure required in order to assure a fail-operational mode. Additionally to the increase of the phase number, the use of multilevel inverter topologies and of an electric energy source in matrix topologies (for fuel cells or batteries) is auspicious regarding the system’s fault tolerance. Furthermore, some applications of the methods and the respective results will be presented from former research projects.


Anton Rassõlkin

Tallinn 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

A modern trend for industry digitalization brings new demands for the development and application of the modeling and simulation approach. It is already not enough to have only a virtual representation of the object and run it independently from the physical object. The Digital Twin aspect indicates a connection between the physical object and the corresponding virtual twin established by generating real-time data using physical and virtual sensors. The DT represents physical object operation throughout its life cycle, making it an essential tool for improving that object’s reliability. It is not necessary to run Digital Twin always in real-time, it can be used to test out hypothetical scenarios for maintenance, diagnostics, “what if?” analysis and risk assessment. Reduced models of the physical entities for Digital Twins can be constructed using different model order reduction methods. A variety of condition monitoring techniques are available nowadays and may be combined with Digital Twin approaches, e.g. electromagnetic field monitoring, noise and vibration monitoring, infrared recognition, temperature measurements, radio frequency emission monitoring, chemical analysis, acoustic noise measurement, motor current signature analysis (MCSA) and most advanced artificial intelligence-based techniques, such as fuzzy logic and neural networks etc.


Giulio Corradi

Xilinx GmbH
Munich, Germany

Principal Architect Industrial, Vision, Healthcare & Sciences

Topic: Single Chip Design of mixed critical and high reliability motion systems with ZYNQ Ultrascale+


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.