Siegfried Silber

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: In this paper, the authors compared the performance of two-, three-, and four-phase BSM concepts based on performance indexes such as motor losses, losses in the power electronics, and voltampere requirements depending on the required magnetic bearing force and motor torque.

TL;DR: This paper investigates the modeling of brushless permanent-magnet synchronous machines by deriving an automatable process for obtaining dynamic motor models that take nonlinear effects, such as saturation, into account.