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

*Autor correspondiente de este trabajo

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

18 Citas (Scopus)

Resumen

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.

Idioma originalInglés
Páginas (desde-hasta)703-712
Número de páginas10
PublicaciónIEEE Transactions on Energy Conversion
Volumen38
N.º1
DOI
EstadoPublicada - 2023

Nota bibliográfica

Publisher Copyright:
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Áreas temáticas de ASJC Scopus

  • Ingeniería energética y tecnologías de la energía
  • Ingeniería eléctrica y electrónica

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