永磁同步电动机模糊反步控制器的设计

Ming Yang, Xingcheng Wang
{"title":"永磁同步电动机模糊反步控制器的设计","authors":"Ming Yang, Xingcheng Wang","doi":"10.1109/ICCIS.2010.5518557","DOIUrl":null,"url":null,"abstract":"A fuzzy backstepping controller design for permanent magnet synchronous motor (PMSM) is presented in this paper. In order to gain good dynamics and robustness, the parameters of nonlinear controller based on backstepping technique is adjusted by fuzzy logic control, and the fuzzy logic control is optimized by adaptive weighted particle swarm optimization (PSO). The adaptive weighted PSO is efficient for multi-objective and multi-dimensional problem. The proposed optimal controller is verified by simulation, and the results show that the controller has robust and good dynamic response.","PeriodicalId":445473,"journal":{"name":"2010 IEEE Conference on Cybernetics and Intelligent Systems","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Design for fuzzy backstepping controller of permanent magnet synchronous motor\",\"authors\":\"Ming Yang, Xingcheng Wang\",\"doi\":\"10.1109/ICCIS.2010.5518557\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A fuzzy backstepping controller design for permanent magnet synchronous motor (PMSM) is presented in this paper. In order to gain good dynamics and robustness, the parameters of nonlinear controller based on backstepping technique is adjusted by fuzzy logic control, and the fuzzy logic control is optimized by adaptive weighted particle swarm optimization (PSO). The adaptive weighted PSO is efficient for multi-objective and multi-dimensional problem. The proposed optimal controller is verified by simulation, and the results show that the controller has robust and good dynamic response.\",\"PeriodicalId\":445473,\"journal\":{\"name\":\"2010 IEEE Conference on Cybernetics and Intelligent Systems\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-06-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE Conference on Cybernetics and Intelligent Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCIS.2010.5518557\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE Conference on Cybernetics and Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCIS.2010.5518557","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

摘要

提出了一种永磁同步电动机模糊反步控制器的设计方法。为了获得良好的动力学和鲁棒性,采用模糊逻辑控制对基于反演技术的非线性控制器进行参数调整,并采用自适应加权粒子群算法(PSO)对模糊控制进行优化。自适应加权粒子群算法对多目标、多维问题具有较好的求解效果。通过仿真验证了所提出的最优控制器,结果表明该控制器具有良好的鲁棒性和动态响应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design for fuzzy backstepping controller of permanent magnet synchronous motor
A fuzzy backstepping controller design for permanent magnet synchronous motor (PMSM) is presented in this paper. In order to gain good dynamics and robustness, the parameters of nonlinear controller based on backstepping technique is adjusted by fuzzy logic control, and the fuzzy logic control is optimized by adaptive weighted particle swarm optimization (PSO). The adaptive weighted PSO is efficient for multi-objective and multi-dimensional problem. The proposed optimal controller is verified by simulation, and the results show that the controller has robust and good dynamic response.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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:481959085
Book学术官方微信