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Dr.-Ing. Dr.h.c. dr hab. Kay HAMEYER,
RWTH Aachen University, Germany

Kay Hameyer (Senior MIEEE, Fellow IET) received the M.Sc. degree in electrical engineering from the University of Hannover, Germany. He received the Ph.D. degree from University of Technology Berlin, Germany. After his university studies he worked with the Robert Bosch GmbH in Stuttgart, Germany, as a design engineer for permanent magnet servo motors and automotive board net components.
In 1988 he became a member of the staff at the University of Technology Berlin, Germany. From November to December 1992 he was a visiting professor at the COPPE Universidade Federal do Rio de Janeiro, Brazil, teaching electrical machine design. In the frame of collaboration with the TU Berlin, he was in June 1993 a visiting professor at the Universite de Batna, Algeria. Beginning in 1993 he was a scientific consultant working on several industrial projects. He was a guest professor at the University of Maribor in Slovenia, the Korean University of Technology (KUT) in South-Korea. Currently he is guest professor at the University of Southampton, UK in the department of electrical energy. 2004 Dr. Hameyer was awarded his Dr. habil. from the faculty of Electrical Engineering of the Technical University of Poznan in Poland and was awarded the title of Dr. h.c. from the faculty of Electrical Engineering of the Technical University of Cluj Napoca in Romania. Until February 2004 Dr. Hameyer was a full professor for Numerical Field Computations and Electrical Machines with the K.U.Leuven in Belgium. Currently Dr. Hameyer is the director of the Institute of Electrical Machines and holder of the chair Electromagnetic Energy Conversion of the RWTH Aachen University in Germany (http://www.iem.rwth-aachen.de/). Next to the directorship of the Institute of Electrical Machines, Dr. Hameyer is the dean of the faculty of electrical engineering and information technology of RWTH Aachen University. Currently he is elected member and evaluator of the German Research Foundation (DFG). In 2007 Dr. Hameyer and his group organized the 16th International Conference on the Computation of Electromagnetic Fields COMPUMAG 2007 in Aachen, Germany.
His research interests are numerical field computation, the design and control of electrical machines, in particular permanent magnet excited machines, induction machines and numerical optimisation strategies. Since several years Dr. Hameyer's work is concerned with the magnetic levitation for drive systems. Dr. Hameyer is author of more than 180 journal publications, more than 350 international conference publications and author of 4 books.
Dr. Hameyer is an elected member of the board of the International Compumag Society, member of the German VDE, a senior member of the IEEE, a Fellow of the IET and a founding member of the executive team of the IET Professional Network Electromagnetics.

Multiphysical simulation of drive trains
Enno Lange & Kay Hameyer,
RWTH Aachen University, Institute of Electrical Machines, Germany


Inverter fed drive trains is today's standard configuration for highly dynamic drive applications. The design process for such drive trains must meet the target specifications as well as given constraints for the parasitic effects. Depending on the area of application, these parasitic effects require importance to be attached to e.g. sound radiation power, losses specific to the different components or the overall efficiency. Furthermore, understanding the interdependencies between inverter, electric machine, gear and load is indispensable in the optimal design process.
The first part of this paper gives an introduction to the simulation methods at hand and the different coupling schemes which are necessary to cope with the simulation of a complete drive train. Herein, the difference between physically strong or weak and numerically strong or weak coupled system is pointed out. Having a look at the electric machine fed by the inverter, it is obvious that the current wave form determines the working point of the machine, while the energy stored in the machine, thus the saturation, must be taken into account by the control of the inverter. While this represents a physically strong coupled system, the numerical solution can be obtained in a weakly coupled manner.
The second part of the paper presents a complete simulation of a drive train beginning with the circuit simulation of the inverter and its higher control coupled to the numerical field simulation of the machine and the behavior of the mechanical system. Herein, the applied field-circuit coupling and the system simulation is being presented in-depth. Additionally, the parasitic effects e.g. sound radiation of the electric machine and the overall efficiency of the drive train are derived.
Finally, besides a summary, the simulations are to be compared with measurements.