An Improved Model Predictive Torque Control for PMSM Drives Based on Discrete Space Vector Modulation

Wei Zhang; Yong Yang; Mingdi Fan; Liqun He; Aiming Ji; Yang Xiao; Huiqing Wen; Xinan Zhang; Tao Yang; Saad Mekhilef; Jose Rodriguez

doi:10.1109/TPEL.2023.3257399

An Improved Model Predictive Torque Control for PMSM Drives Based on Discrete Space Vector Modulation

Wei Zhang
, Yong Yang^*
, Mingdi Fan^*
, Liqun He
, Aiming Ji
, Yang Xiao
, Huiqing Wen
, Xinan Zhang
, Tao Yang
, Saad Mekhilef
, Jose Rodriguez

^*Corresponding author for this work

Soochow University
Xi'an Jiaotong-Liverpool University
University of Western Australia
University of Nottingham
Swinburne University of Technology

Research output: Contribution to journal › Article › peer-review

40 Scopus citations

Abstract

In this article, an improved model predictive torque control (MPTC) method based on discrete space vector modulation (DSVM) is proposed for permanent magnet synchronous motor (PMSM) drives. Aiming at solving the two problems of large torque ripples and high computational complexity in conventional MPTC, the proposed method adopts a second optimization and a new simplified search strategy. The key idea of second optimization is to make the output voltage vector closer to the actual optimal solution. In this case, a more suitable voltage vector is applied in each sampling period. The simplified search strategy reduces the calculation time by cutting down the number of candidate voltage vectors without affecting drives performance. Compared to the conventional MPTC without DSVM and with DSVM, the proposed method can produce superior steady-state performance and lower computational complexity. Simulation and experimental results are presented to validate the effectiveness and feasibility of the proposed method.

Original language	English
Pages (from-to)	7535-7545
Number of pages	11
Journal	IEEE Transactions on Power Electronics
Volume	38
Issue number	6
DOIs	https://doi.org/10.1109/TPEL.2023.3257399
State	Published - 2023

Bibliographical note

Funding Information:
This work was supported in part by the National Natural Science Foundation ofChina underGrants 51977136, 52277062, and 52007127, in part by the Nature Science Youth Foundation of Jiangsu Province under Grant BK20220499, and in part by Projects FB0008, 1210208, and 1221293.

Publisher Copyright:
© 1986-2012 IEEE.

ASJC Scopus subject areas

Electrical and Electronic Engineering

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10.1109/TPEL.2023.3257399

Cite this

@article{20f5135530c34723bc353ff9cf47e288,

title = "An Improved Model Predictive Torque Control for PMSM Drives Based on Discrete Space Vector Modulation",

abstract = "In this article, an improved model predictive torque control (MPTC) method based on discrete space vector modulation (DSVM) is proposed for permanent magnet synchronous motor (PMSM) drives. Aiming at solving the two problems of large torque ripples and high computational complexity in conventional MPTC, the proposed method adopts a second optimization and a new simplified search strategy. The key idea of second optimization is to make the output voltage vector closer to the actual optimal solution. In this case, a more suitable voltage vector is applied in each sampling period. The simplified search strategy reduces the calculation time by cutting down the number of candidate voltage vectors without affecting drives performance. Compared to the conventional MPTC without DSVM and with DSVM, the proposed method can produce superior steady-state performance and lower computational complexity. Simulation and experimental results are presented to validate the effectiveness and feasibility of the proposed method.",

keywords = "Discrete space vector modulation (DSVM), model predictive torque control (MPTC), permanent magnet synchronous motor (PMSM)",

author = "Wei Zhang and Yong Yang and Mingdi Fan and Liqun He and Aiming Ji and Yang Xiao and Huiqing Wen and Xinan Zhang and Tao Yang and Saad Mekhilef and Jose Rodriguez",

note = "Funding Information: This work was supported in part by the National Natural Science Foundation ofChina underGrants 51977136, 52277062, and 52007127, in part by the Nature Science Youth Foundation of Jiangsu Province under Grant BK20220499, and in part by Projects FB0008, 1210208, and 1221293. Publisher Copyright: {\textcopyright} 1986-2012 IEEE.",

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AU - Zhang, Wei

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AU - Ji, Aiming

AU - Xiao, Yang

AU - Wen, Huiqing

AU - Zhang, Xinan

AU - Yang, Tao

AU - Mekhilef, Saad

AU - Rodriguez, Jose

N1 - Funding Information: This work was supported in part by the National Natural Science Foundation ofChina underGrants 51977136, 52277062, and 52007127, in part by the Nature Science Youth Foundation of Jiangsu Province under Grant BK20220499, and in part by Projects FB0008, 1210208, and 1221293. Publisher Copyright: © 1986-2012 IEEE.

PY - 2023/1

Y1 - 2023/1

N2 - In this article, an improved model predictive torque control (MPTC) method based on discrete space vector modulation (DSVM) is proposed for permanent magnet synchronous motor (PMSM) drives. Aiming at solving the two problems of large torque ripples and high computational complexity in conventional MPTC, the proposed method adopts a second optimization and a new simplified search strategy. The key idea of second optimization is to make the output voltage vector closer to the actual optimal solution. In this case, a more suitable voltage vector is applied in each sampling period. The simplified search strategy reduces the calculation time by cutting down the number of candidate voltage vectors without affecting drives performance. Compared to the conventional MPTC without DSVM and with DSVM, the proposed method can produce superior steady-state performance and lower computational complexity. Simulation and experimental results are presented to validate the effectiveness and feasibility of the proposed method.

AB - In this article, an improved model predictive torque control (MPTC) method based on discrete space vector modulation (DSVM) is proposed for permanent magnet synchronous motor (PMSM) drives. Aiming at solving the two problems of large torque ripples and high computational complexity in conventional MPTC, the proposed method adopts a second optimization and a new simplified search strategy. The key idea of second optimization is to make the output voltage vector closer to the actual optimal solution. In this case, a more suitable voltage vector is applied in each sampling period. The simplified search strategy reduces the calculation time by cutting down the number of candidate voltage vectors without affecting drives performance. Compared to the conventional MPTC without DSVM and with DSVM, the proposed method can produce superior steady-state performance and lower computational complexity. Simulation and experimental results are presented to validate the effectiveness and feasibility of the proposed method.

KW - Discrete space vector modulation (DSVM)

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An Improved Model Predictive Torque Control for PMSM Drives Based on Discrete Space Vector Modulation

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