Finite Control Set Model Predictive Torque Control with Reduced Computation Burden for PMSM Based on Discrete Space Vector Modulation

Mingxing Gu, Yong Yang, Mingdi Fan, Yang Xiao, Ping Liu, Xinan Zhang, Hui Yang, Jose Rodriguez

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)

Abstract

This paper proposes a finite control set model predictive torque control (FCS-MPTC) with reduced computation burden for permanent magnet synchronous motor (PMSM). Based on discrete space vector modulation (DSVM), the proposed DSVM-MPTC extends the control set. Therefore, compared to the traditional FCS-MPTC, it greatly reduces the torque ripples and current harmonics while maintaining a constant switching frequency. Furthermore, a new voltage vector optimization strategy is employed to decrease the number of candidate voltage vectors from 38 to 13, the proposed DSVM-MPTC significantly reduces the computation burden without compromising the control performance. The validity of the proposed DSVM-MPTC is verified by comparative experiments.

Original languageEnglish
Pages (from-to)703-712
Number of pages10
JournalIEEE Transactions on Energy Conversion
Volume38
Issue number1
Early online date2022
DOIs
Publication statusPublished - 1 Mar 2023

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