Wolfgang Amrhein

TL;DR: In this paper, the design aspects of bearingless slice motors with permanent magnet excitation are investigated. And a methodical evaluation approach based on performance indexes is presented to evaluate the performance of the slice motors.

TL;DR: A new radial position and motor torque control algorithm based on the theory of feedback linearization for a bearingless brushless DC motor that can be split into independent linear systems by means of a nonlinear change of system coordinates and a static state feedback is introduced.

TL;DR: The key and novel aspect of this optimization procedure is the on-the-fly automated creation of highly accurate and stable surrogate fitness functions based on artificial neural networks (ANNs) in the middle and end parts of the NSGA-II run (->hybridization) in order to significantly reduce the very high computational effort required by the optimization process.

TL;DR: The criteria for high speed operation and the ability of this topology to fulfill them are discussed and a description of a prototype system, designed to reach speeds of beyond 100 000 r/min are given.

TL;DR: In this paper, the design process of a bearingless segment motor with five equal stator elements and concentrated windings is described, and finite element simulations are applied to maximize the bearing forces and the motor torque per ampere and minimize the reluctance forces.