• CN: 11-2187/TH
  • ISSN: 0577-6686

Journal of Mechanical Engineering ›› 2020, Vol. 56 ›› Issue (20): 106-119.doi: 10.3901/JME.2020.20.106

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Structural Torque Ripple Suppression Method of Switched Reluctance Motor

CHEN Jiqing1,2, XIAN Haolan1,2, LAN Fengchong1,2, LIANG Qiaodan1,2   

  1. 1. School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou 510640;
    2. Guangdong Provincial Automobile Engineering Key Laboratory, South China University of Technology, Guangzhou 510640
  • Received:2019-11-29 Revised:2020-08-11 Online:2020-10-20 Published:2020-12-18

Abstract: Switched reluctance motor has the advantages of simple structure, low cost and wide range of speed regulation, but its double salient pole structure and the switching characteristics of the controller lead to the existence of torque ripple phenomenon, which makes the suppression of torque ripple become a focus problem. Firstly, starting from the structure and operation mechanism of switched reluctance motor, aiming at the problem that the linear analytical method is difficult to analyze the torque characteristics, the finite element model of the motor is established to solve the torque characteristics and the prototype experiment is carried out to verify. The influence of the prototype structure parameters of torque ripple is analyzed, according to structural parameters of the coupling problem, the NSGA-Ⅱ algorithm is selected in parameter optimization platform for multi-objective optimization of prototype structure parameters, under the condition that the torque ripple coefficient and average torque of the optimized prototype are better than that of the original motor, the optimization result of the prototype is finally obtained. The results show that the influence of different structural parameters on the torque of the motor is quite different, and the optimization of structural parameters can effectively suppress the torque ripple. This parameter optimization method can provide reference for structural torque ripple suppression of switched reluctance motors.

Key words: switched reluctance motor, torque ripple suppression, structural parameterization, finite element analysis, multi-objective optimization

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