电工技术学报  2022, Vol. 37 Issue (9): 2306-2318    DOI: 10.19595/j.cnki.1000-6753.tces.210331
电机及其系统 |
永磁辅助同步磁阻电机顶层优化设计
孙毅1,2, 蔡顺1,3, 林迎前1,2, 王云冲1,2, 沈建新1,2
1.浙江大学电气工程学院 杭州 310027;
2.浙江省电机系统智能控制与变流技术重点实验室 杭州 310027;
3.南洋理工大学电气与电子工程系 新加坡 639798
Top-Level Design Pattern of PM-Assisted Synchronous Reluctance Machines
Sun Yi1,2, Cai Shun1,3, Lin Yingqian1,2, Wang Yunchong1,2, Shen Jianxin1,2
1. College of Electrical Engineering Zhejiang University Hangzhou 310027 China;
2. Zhejiang Provincial Key Laboratory of Electrical Machine Systems Hangzhou 310027 China;
3. Department of Electrical and Electronic Engineering Nanyang Technological University 639798 Singapore
全文: PDF (14557 KB)   HTML
输出: BibTeX | EndNote (RIS)      
摘要 永磁辅助同步磁阻电机设计的主要挑战在于如何确定众多参数以满足电机多个性能指标。永磁辅助同步磁阻电机顶层优化设计概念是指将电机优化设计看作为多参数、多目标的优化问题。该文将该高维的多目标优化问题转化为两个低维的单目标子问题。然后,运用本文提出的解析优化算法求解子问题Ⅰ。运用粒子群算法、带精英策略的遗传算法与模式搜寻算法分别求解子问题Ⅱ。相比于粒子群算法与遗传算法,无论是优化收敛速度还是最终的优化结果,模式搜寻算法均表现更优。随后,运用上述方法优化了4个不同的永磁辅助同步磁阻电机。经过优化后,4个电机的电磁性能均显著提高。最后,通过7.5kW@3 000r/min铁氧体辅助同步磁阻电机实验验证了永磁辅助同步磁阻电机顶层优化设计方法的正确性。
服务
把本文推荐给朋友
加入我的书架
加入引用管理器
E-mail Alert
RSS
作者相关文章
孙毅
蔡顺
林迎前
王云冲
沈建新
关键词 永磁辅助同步磁阻电机顶层优化设计多目标优化解析优化算法优化方法    
Abstract:The main challenge of the PM-assisted synchronous reluctance machine (PMASynRM) design is to determine numerous parameters for the requirement of multi-objectives. According to the top-level design concept, the optimization for PMASynRMs can be regarded as multi-parameter and multi-objective optimization problems (MOOPs). In this paper, the high-dimensional optimization problem is transformed into two low-dimensional optimization sub-problems. The analytical model algorithm has been established to solve the first sub-problem. Then, the optimization algorithms including the particle swarm optimization (PSO), the standard genetic algorithm (GA) with elitist strategy, and the pattern search (PS) are used for the second sub-problem. It is revealed that the optimization with PS algorithm is superior, in aspects of optimized machine performance and optimization efficiency, compared with that of PSO and GA algorithms. Furthermore, four PMASynRMs have been optimized with the developed process coupled 2D-FEA simulation, and significant performance improvement has been achieved after optimization. Finally, a 7.5kW@3 000r/min prototype machine is manufactured and tested to validate the top-level design pattern.
Key wordsPM-assisted synchronous reluctance machines (PMASynRM)    top-level design pattern    multi-objective optimization    analytical model algorithm    optimization methods   
收稿日期: 2021-03-12     
PACS: TM352  
引用本文:   
孙毅, 蔡顺, 林迎前, 王云冲, 沈建新. 永磁辅助同步磁阻电机顶层优化设计[J]. 电工技术学报, 2022, 37(9): 2306-2318. Sun Yi, Cai Shun, Lin Yingqian, Wang Yunchong, Shen Jianxin. Top-Level Design Pattern of PM-Assisted Synchronous Reluctance Machines. Transactions of China Electrotechnical Society, 2022, 37(9): 2306-2318.
链接本文:  
https://dgjsxb.ces-transaction.com/CN/10.19595/j.cnki.1000-6753.tces.210331          https://dgjsxb.ces-transaction.com/CN/Y2022/V37/I9/2306