Multi-Objective Optimization Design of ERSRM with Asymmetric Stator Poles

被引：0

作者：

Huang C. ^{[1
]}

Yuan H. ^{[1
]}

Cao W. ^{[1
]}

Wu Y. ^{[1
]}

机构：

[1] College of Electrical and Automation, Jiangxi University of Science and Technology, Ganzhou

来源：

Progress In Electromagnetics Research C | 2023年 / 129卷

基金：

中国国家自然科学基金;

关键词：

Genetic algorithms - Multiobjective optimization - Reluctance motors - Stators;

D O I：

10.2528/PIERC22120218

中图分类号：

学科分类号：

摘要：

This paper proposes a novel asymmetric interior stator topology for torque enhancement and torque ripple reduction in external rotor switched reluctance motor (ERSRM). The new topology and operational principle are first investigated using a simplified linear model. Then, the parametric model of the ERSRM and the comprehensive sensitive analysis that evaluates the influence of each design variable on optimization objectives are presented. Thirdly, the optimal design is selected from the Pareto front which is generated by NSGA-II (fast non-dominated sorting genetic algorithm) and validated by finite element analysis. Finally, the optimal prototype motor is manufactured, and experimental results confirm the validity and superiority of the optimized design. © 2023, Electromagnetics Academy. All rights reserved.

引用

页码：257 / 271

页数：14

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