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Model Predictive Control for PMSM Based on Discrete Space Vector Modulation with RLS Parameter Identification

Author

Listed:
  • Hao Yu

    (School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China)

  • Jiajun Wang

    (School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China)

  • Zhuangzhuang Xin

    (School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China)

Abstract

Model Predictive Control (MPC) based on Discrete Space Vector Modulation (DSVM) has the advantages of simple mathematical model and fast dynamic response. It is widely used in permanent magnet synchronous motor (PMSM). Additionally, the control performance of DSVM-MPC is influenced by the accuracy of motor parameters and the select speed of optimal voltage vector. In order to identify motor parameters accurately, model predictive control for PMSM based on discrete space vector modulation with recursive least squares (RLS) parameter identification is proposed in this paper. Additionally, a method to preselect candidate voltage vectors is proposed to select the optimal voltage vector more quickly. The simulation model of RLS-DSVM-MPC is established to simulate the influence of different parameters on PMSM performance. The simulation results show that model predictive control for PMSM based on discrete space vector modulation with RLS parameter identification has a better control performance than that of without RLS parameter identification.

Suggested Citation

  • Hao Yu & Jiajun Wang & Zhuangzhuang Xin, 2022. "Model Predictive Control for PMSM Based on Discrete Space Vector Modulation with RLS Parameter Identification," Energies, MDPI, vol. 15(11), pages 1-16, May.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:11:p:4041-:d:828763
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    References listed on IDEAS

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    1. GuangQing Bao & WuGang Qi & Ting He, 2020. "Direct Torque Control of PMSM with Modified Finite Set Model Predictive Control," Energies, MDPI, vol. 13(1), pages 1-16, January.
    2. Faa-Jeng Lin & Syuan-Yi Chen & Wei-Ting Lin & Chih-Wei Liu, 2021. "An Online Parameter Estimation Using Current Injection with Intelligent Current-Loop Control for IPMSM Drives," Energies, MDPI, vol. 14(23), pages 1-21, December.
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    Cited by:

    1. Zhiming Liao & Tianran Peng & Jia Liu & Tao Guo, 2023. "Multi-Adjustment Strategy for Phase Current Reconstruction of Permanent Magnet Synchronous Motors Based on Model Predictive Control," Energies, MDPI, vol. 16(15), pages 1-16, July.

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