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Model-Based Predictive Vibration Suppression Algorithm for Permanent Magnet Synchronous Motor

Author

Listed:
  • Sheng Ma

    (College of Computer Science and Technology, Shenyang Institute of Engineering, Shenyang 110136, China)

  • Xueyan Hao

    (College of Computer Science and Technology, Shenyang Institute of Engineering, Shenyang 110136, China)

  • Bo Zhang

    (School of Electrical Engineering, Shenyang University of Technology, Shenyang 110136, China)

  • Guilin Zhao

    (School of Electrical Engineering, Shenyang University of Technology, Shenyang 110136, China)

Abstract

As applications like electric vehicles, all-electric ships, and all-electric aircraft continue to evolve, Noise, Vibration, and Harshness (NVH) issues have garnered extensive attention. However, as the core of the power system, permanent magnet synchronous motors (PMSMs) still lack control algorithms that consider vibration problems. Therefore, this paper proposes a model-based predictive vibration suppression algorithm to suppress the PMSM vibration. Firstly, this paper explores the influence of armature currents on vibration by analyzing the vibration characteristics of PMSMs, and proposes a minimum vibration current model. On this basis, according to the torque conditions required for the stable operation of the motor, a model-based predictive vibration suppression algorithm is designed. Finally, the effectiveness of the proposed algorithm is verified through prototype experiments.

Suggested Citation

  • Sheng Ma & Xueyan Hao & Bo Zhang & Guilin Zhao, 2025. "Model-Based Predictive Vibration Suppression Algorithm for Permanent Magnet Synchronous Motor," Energies, MDPI, vol. 18(16), pages 1-12, August.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:16:p:4252-:d:1721541
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