Vibration Analysis of Switched Reluctance Motor Based on Multi-objective Genetic Algorithm

被引：7
作者：
Huang, Xiaocun [1 ]
Rao, Yingying [2 ]
Jing, Libing [2 ]
机构：
[1] Cangzhou Normal Univ, Coll Phys & Informat Engn, 16 Guofeng South Ave, Cangzhou, Hebei, Peoples R China
[2] China Three Gorges Univ, Coll Elect Engn & New Energy, Daxue Rd 8, Yichang, Hubei, Peoples R China
来源：
JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY | 2023年 / 18卷 / 02期
关键词：
Switched reluctance motor; Multi-objective genetic algorithm; Modal analysis; Harmonic response analysis; MACHINES; NOISE; MITIGATION; STATOR;
D O I：
10.1007/s42835-023-01406-1
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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.
引用
收藏
页码：1003 / 1011
页数：9
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