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Permanent Magnet Flux Linkage Identification Method of the Model Predictive Current Control System for PMSM

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  • Tao Chen
  • Haihong Xiao
  • Lianhui Li

Abstract

Accurate identification of permanent magnet flux linkage can effectively improve the control performance of model predictive current control system of permanent magnet synchronous motor (PMSM). This paper reviews the existing identification methods of permanent magnet flux linkage of PMSM first and then proposes an identification method of permanent magnet flux linkage based on an improved unscented particle filter, the problem of particle diversity reduction of the traditional unscented particle filtering algorithm is solved, and the identification performance of permanent magnet flux is improved. Simulation research and experimental verification of the proposed method are carried out, and the simulation and experimental results confirm the effectiveness of the proposed method.

Suggested Citation

  • Tao Chen & Haihong Xiao & Lianhui Li, 2022. "Permanent Magnet Flux Linkage Identification Method of the Model Predictive Current Control System for PMSM," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-11, August.
    • Handle: RePEc:hin:jnlmpe:7272772
    DOI: 10.1155/2022/7272772
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