Anisotropy-based position estimation for highly-saturated permanent magnet synchronous machines in slowly-sampled control systems

Marco Roetzer, Ulrich Vollmer, Ralph Kennel

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

This paper presents an anisotropy-based position estimation approach taking advantage of saturation effects in permanent magnet synchronous machines (PMSM). Due to magnetic anisotropies of the electrical machine, current responses to high-frequency voltage excitations contain rotor position information. Therefore, the rotor position can be estimated by means of these current responses. The relation between the high-frequency current changes, the applied phase voltages and the rotor position is given by the inverse inductance matrix of the machine. In this paper, an analytical model of the inverse inductance matrix considering secondary anisotropies and saturation effects is proposed. It is shown that the amount of rotor position information contained in these current changes depends on the direction of the voltage excitation and the operating point. By means of this knowledge, a position estimation approach for slowly-sampled control systems is developed. Experimental results show the effectiveness of the proposed approach.

Original languageEnglish
Title of host publication2017 19th European Conference on Power Electronics and Applications, EPE 2017 ECCE Europe
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9789075815276
DOIs
StatePublished - 6 Nov 2017
Event19th European Conference on Power Electronics and Applications, EPE 2017 ECCE Europe - Warsaw, Poland
Duration: 11 Sep 201714 Sep 2017

Publication series

Name2017 19th European Conference on Power Electronics and Applications, EPE 2017 ECCE Europe
Volume2017-January

Conference

Conference19th European Conference on Power Electronics and Applications, EPE 2017 ECCE Europe
Country/TerritoryPoland
CityWarsaw
Period11/09/1714/09/17

Keywords

  • Control of drive
  • Electrical drive
  • Permanent magnet motor
  • Self-sensing control
  • Sensorless control

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