Model Predictive Current Control of PMSM drives for Achieving both Fast Transient Response and Ripple Suppression

Hiroaki Kawai, Julien Cordier, Ralph Kennel, Shinji Doki

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

5 Zitate (Scopus)

Abstract

This study presents current control algorithm based on a finite control set model predictive control (FCS-MPC) to achieve both high dynamics and current ripple suppression. In the proposed method, the smoothed voltage vectors with a finite set are applied as a control input candidate to avoid a sudden change in output voltage which generates large current ripple. In addition, the smoothness is determined automatically depending on a drive situation and system's specification. Owing to this, fast transient response is achieved while keeping small current ripple during drive operation. The simulated and experimental results obtained with a permanent magnet synchronous motor (PMSM) show that the proposed method is effective for current ripple reduction and high dynamics control as compared to traditional FCS-MPC approach.

OriginalspracheEnglisch
TitelIECON 2021 - 47th Annual Conference of the IEEE Industrial Electronics Society
Herausgeber (Verlag)IEEE Computer Society
ISBN (elektronisch)9781665435543
DOIs
PublikationsstatusVeröffentlicht - 13 Okt. 2021
Veranstaltung47th Annual Conference of the IEEE Industrial Electronics Society, IECON 2021 - Toronto, Kanada
Dauer: 13 Okt. 202116 Okt. 2021

Publikationsreihe

NameIECON Proceedings (Industrial Electronics Conference)
Band2021-October

Konferenz

Konferenz47th Annual Conference of the IEEE Industrial Electronics Society, IECON 2021
Land/GebietKanada
OrtToronto
Zeitraum13/10/2116/10/21

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