Comparison of Synchronous Reluctance Machines Using Topology Optimization

M. Martinović, S. Stipetić, D. Žarko, Mario Klanac
{"title":"Comparison of Synchronous Reluctance Machines Using Topology Optimization","authors":"M. Martinović, S. Stipetić, D. Žarko, Mario Klanac","doi":"10.1109/SPEEDAM48782.2020.9161937","DOIUrl":null,"url":null,"abstract":"This paper describes the process of a synchronous reluctance machine design optimization using topology optimization. A comparative analysis is performed for machines with a different number of pole pairs. Also, the benefit of rotor asymmetry was examined. Each model is obtained with topology optimization using a Genetic Algorithm (GA) hybridized with local on/off sensitivity method. This hybrid approach can be effective to reduce computation time. It is demonstrated how 4-pole designs are dominating 6-pole and 8-pole designs in terms of average torque and power factor.","PeriodicalId":207935,"journal":{"name":"2020 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPEEDAM48782.2020.9161937","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

This paper describes the process of a synchronous reluctance machine design optimization using topology optimization. A comparative analysis is performed for machines with a different number of pole pairs. Also, the benefit of rotor asymmetry was examined. Each model is obtained with topology optimization using a Genetic Algorithm (GA) hybridized with local on/off sensitivity method. This hybrid approach can be effective to reduce computation time. It is demonstrated how 4-pole designs are dominating 6-pole and 8-pole designs in terms of average torque and power factor.
基于拓扑优化的同步磁阻电机比较
本文介绍了采用拓扑优化方法对同步磁阻电机进行优化设计的过程。对具有不同极对数的机器进行了比较分析。并对转子不对称的优点进行了分析。采用遗传算法和局部开/关灵敏度法对各模型进行拓扑优化。这种混合方法可以有效地减少计算时间。在平均扭矩和功率因数方面,证明了4极设计如何主导6极和8极设计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信