Flux Linkage-Based Model Predictive Current Control for Nonlinear PMSM Drives

Sebastian Wendel, Petros Karamanakos, Armin Dietz, Ralph Kennel

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

5 Zitate (Scopus)

Abstract

In this paper, a flux linkage-based direct model predictive current control approach is presented for small permanent magnet synchronous motor (PMSM) drives. The method aims to minimize the current ripples at steady state by deciding on the optimal switching instant, while exhibiting fast dynamic behavior during transients. To this end, the future trajectory of the stator current is not computed based on the machine inductances or inductance look-up tables, but on the changes of the magnetic flux linkage by utilizing flux linkage maps. As shown, the proposed method can be particularly advantageous for electric drives with a noticeable nonlinearity in terms of saturation and/or cross-coupling effects since it allows for a significantly increased prediction accuracy, which leads to an improved steady-state performance as indicated by the reduced current distortions.

OriginalspracheEnglisch
TitelProceedings - IECON 2020
Untertitel46th Annual Conference of the IEEE Industrial Electronics Society
Herausgeber (Verlag)IEEE Computer Society
Seiten3051-3056
Seitenumfang6
ISBN (elektronisch)9781728154145
DOIs
PublikationsstatusVeröffentlicht - 18 Okt. 2020
Veranstaltung46th Annual Conference of the IEEE Industrial Electronics Society, IECON 2020 - Virtual, Singapore, Singapur
Dauer: 19 Okt. 202021 Okt. 2020

Publikationsreihe

NameIECON Proceedings (Industrial Electronics Conference)
Band2020-October

Konferenz

Konferenz46th Annual Conference of the IEEE Industrial Electronics Society, IECON 2020
Land/GebietSingapur
OrtVirtual, Singapore
Zeitraum19/10/2021/10/20

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