控制理论(社会学)
转子(电动)
转矩脉动
优化设计
多目标优化
遗传算法
悬挂(拓扑)
扭矩
磁阻
有限元法
工程类
计算机科学
磁铁
感应电动机
直接转矩控制
数学
数学优化
物理
机械工程
结构工程
电压
机器学习
人工智能
电气工程
热力学
纯数学
控制(管理)
同伦
作者
Yizhou Hua,Hui-ren Zhu,Min Gao,Zongyou Ji
出处
期刊:IEEE Transactions on Industrial Electronics
[Institute of Electrical and Electronics Engineers]
日期:2021-11-01
卷期号:68 (11): 10477-10487
被引量:33
标识
DOI:10.1109/tie.2020.3037873
摘要
In order to improve the performance (low torque ripple, low suspension ripple, and high power factor) of the permanent magnet assisted bearingless synchronous reluctance motor (PMa-BSynRM), the multiobjective optimal design based on fast nondominated sorting genetic algorithm (NSGA-II) of PMa-BSynRM rotor topology is investigated in this article. First, the structure and operation principle of the PMa-BSynRM are introduced. Second, the initial rotor design that gives optimizer the ability to produce a variety of barrier shapes and the comprehensive sensitive analysis that evaluates the influence of each design variable on optimization objectives are presented. Third, the optimal design is selected from the Pareto front, which is generated by NSGA-II, and validated by finite-element analysis. The simulation results confirm that the torque and suspension force capacity of optimal motor are improved significantly in comparison with initial design, whereas the value of power factor reaches 0.81. Finally, the optimal prototype motor is manufactured, and experimental results confirm the validity and superiority of the optimized design.
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