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

Gu, Mingxing; Liu, Ping

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. © 1986-2012 IEEE.

Más información

Título según WOS: Finite Control Set Model Predictive Torque Control With Reduced Computation Burden for PMSM Based on Discrete Space Vector Modulation
Título según SCOPUS: Finite Control Set Model Predictive Torque Control With Reduced Computation Burden for PMSM Based on Discrete Space Vector Modulation
Título de la Revista: IEEE Transactions on Energy Conversion
Volumen: 38
Número: 1
Editorial: Institute of Electrical and Electronics Engineers Inc.
Fecha de publicación: 2023
Página de inicio: 703
Página final: 712
Idioma: English
DOI:

10.1109/TEC.2022.3211569

Notas: ISI, SCOPUS