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Vibration Analysis of Switched Reluctance Motor Based on Multi-objective Genetic Algorithm
Huang Xiaocun,Rao Yingying,Jing Libing 대한전기학회 2023 Journal of Electrical Engineering & Technology Vol.18 No.2
The vibration and noise caused by radial electromagnetic force hinder the development of switched reluctance motor (SRM). A structure with auxiliary slots in the stator teeth and rotor teeth of SRM is proposed in this paper. The radial force density and average torque are optimized by multi-objective genetic algorithm, and the optimal structural parameters of the motor are determined. The modal analysis and harmonic response analysis of the stator are carried out by using Workbench finite element software and compared with the conventional SRM. The results show that the radial force density is reduced by 42.19%, which verifies that opening auxiliary slots in stator teeth and rotor teeth is conducive to reducing the vibration of SRM.