13 / 2025-01-16 23:34:52
An Improved MPC Strategy for Permanent Magnet Synchronous Motor Based on Visualization Evaluation Scheme
Model predictive control,permanent magnet synchronous motor,cost function,visualization analysis
全文录用
Pengshuai Wang / State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology
Feng Niu / State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology
Leilei Guo / College of Electrical and Information Engineering; Zhengzhou University of Light Industry
Jianlin Chen / State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology
Shaopo Huang / College of Information Engineering, Beijing Institute of Petrochemical Technology
Model predictive control (MPC) has received widespread attention as its clear concept and ease of implementation, and this method can simultaneously control multiple nonlinear objectives utilizing a cost function. However, the control accuracy of traditional cost function still lacks rigorous validation. To provide effective theoretical support, this paper proposes a novel visualization evaluation scheme for a detailed analysis of cost function in the form of the sum of the moduli. The analysis results revealed that the cost function did not achieve the ideal control effect of MPC. Then, based on this results, an improved MPC strategy for permanent magnet synchronous motor (PMSM) is further proposed in this paper. This strategy eliminates control errors by transforming the cost function from the traditional αβ two-phase form to the abc three-phase form, thereby improving the control accuracy of MPC. The simulation comparison results validate the effectiveness of the improved MPC strategy.

 
重要日期
  • 会议日期

    06月05日

    2025

    06月08日

    2025

  • 04月30日 2025

    初稿截稿日期

主办单位
IEEE PELS
IEEE
承办单位
Southeast University
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