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Multi-Virtual-Vector Model Predictive Current Control for Dual Three-Phase PMSM

Author

Listed:
  • Tianjiao Luan

    (China Academy of Launch Vehicle Technology, Beijing 100076, China)

  • Zhichao Wang

    (School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China)

  • Yang Long

    (Jiangxi Water Resources Institute, Nanchang 330044, China)

  • Zhen Zhang

    (School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China)

  • Qi Li

    (School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China)

  • Zhihao Zhu

    (School of Electrical Engineering, Nantong University, Nantong 226019, China)

  • Chunhua Liu

    (School of Energy and Environment, City University of Hong Kong, Hong Kong, China)

Abstract

This paper proposes a multi-virtual-vector model predictive control (MPC) for a dual three-phase permanent magnet synchronous machine (DTP-PMSM), which aims to regulate the currents in both fundamental and harmonic subspace. Apart from the fundamental α-β subspace, the harmonic subspace termed x-y is decoupled in multiphase PMSM according to vector space decomposition (VSD). Hence, the regulation of x-y currents is of paramount importance to improve control performance. In order to take into account both fundamental and harmonic subspaces, this paper presents a multi-virtual-vector model predictive control (MVV-MPC) scheme to significantly improve the steady performance without affecting the dynamic response. In this way, virtual vectors are pre-synthesized to eliminate the components in the x-y subspace and then a vector with adjustable phase and amplitude is composed of two effective virtual vectors and a zero vector. As a result, an enhanced current tracking ability is acquired due to the expanded output range of the voltage vector. Lastly, both simulation and experimental results are given to confirm the feasibility of the proposed MVV-MPC for DTP-PMSM.

Suggested Citation

  • Tianjiao Luan & Zhichao Wang & Yang Long & Zhen Zhang & Qi Li & Zhihao Zhu & Chunhua Liu, 2021. "Multi-Virtual-Vector Model Predictive Current Control for Dual Three-Phase PMSM," Energies, MDPI, vol. 14(21), pages 1-17, November.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:21:p:7292-:d:671722
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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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