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Overcurrent Protection and Unmatched Disturbance Rejection under Non-Cascade Structure for PMSM

Author

Listed:
  • Changhong Jiang

    (School of Electrical and Electronic Engineering, Changchun University of Technology, Changchun 130000, China)

  • Qiming Wang

    (School of Electrical and Electronic Engineering, Changchun University of Technology, Changchun 130000, China)

  • Niaona Zhang

    (School of Electrical and Electronic Engineering, Changchun University of Technology, Changchun 130000, China
    State Key Laboratory of Automobile Simulation and Control, Jilin University, Changchun 130000, China)

  • Haitao Ding

    (State Key Laboratory of Automobile Simulation and Control, Jilin University, Changchun 130000, China)

Abstract

A non-cascade structure with a simple parameter adjustment method and satisfying dynamic performance is investigated so as to address the problem of the complicated structure of a typical cascade control system of permanent magnet synchronous motor (PMSM) system. However, the current cannot work within a limited value under this structure, which poses a risk to circuit safety. To this end, a fast non-singular sliding mode (FNTSM) speed-control strategy is proposed to solve the inadequate resilience of the PI controller. Then, a nonlinear term is developed to address the q -axis current overrun. Furthermore, a sliding-mode disturbance observer (SMDO) is proposed to compensate for the current fluctuation caused by the unmatched load torque disturbances. Finally, stability analysis is conducted for the proposed composite strategy, and the hardware-in-the-loop experiments verify that it achieves satisfying speed-tracking performance and ensures overcurrent protection under unmatched disturbances.

Suggested Citation

  • Changhong Jiang & Qiming Wang & Niaona Zhang & Haitao Ding, 2022. "Overcurrent Protection and Unmatched Disturbance Rejection under Non-Cascade Structure for PMSM," Energies, MDPI, vol. 15(18), pages 1-11, September.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:18:p:6573-:d:909939
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    References listed on IDEAS

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    1. Ming Cheng & Le Sun & Giuseppe Buja & Lihua Song, 2015. "Advanced Electrical Machines and Machine-Based Systems for Electric and Hybrid Vehicles," Energies, MDPI, vol. 8(9), pages 1-24, September.
    2. Jie Deng & Chulheung Bae & James Marcicki & Alvaro Masias & Theodore Miller, 2018. "Safety modelling and testing of lithium-ion batteries in electrified vehicles," Nature Energy, Nature, vol. 3(4), pages 261-266, April.
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