基于自适应逆控制的感应电机控制

L. Gang, Lina Yang
{"title":"基于自适应逆控制的感应电机控制","authors":"L. Gang, Lina Yang","doi":"10.1109/CSAE.2011.5952902","DOIUrl":null,"url":null,"abstract":"In this paper, An improved adaptive inverse control strategy is presented for induction motors drive system. The reference signal and the disturbance signal are controlled, which can achieve optimal effect in the meantime. Applying adaptive LMS algorithm based on variable step and variable region to variable frequency speed regulation system, the initial convergence rate, tricking ability of time-varying system and stable precision are best. Computer simulation results and the outcomes of real-time experiment are included in the paper to show the effectiveness of the proposed method.","PeriodicalId":138215,"journal":{"name":"2011 IEEE International Conference on Computer Science and Automation Engineering","volume":"141 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Induction motor control based on adaptive inverse control\",\"authors\":\"L. Gang, Lina Yang\",\"doi\":\"10.1109/CSAE.2011.5952902\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, An improved adaptive inverse control strategy is presented for induction motors drive system. The reference signal and the disturbance signal are controlled, which can achieve optimal effect in the meantime. Applying adaptive LMS algorithm based on variable step and variable region to variable frequency speed regulation system, the initial convergence rate, tricking ability of time-varying system and stable precision are best. Computer simulation results and the outcomes of real-time experiment are included in the paper to show the effectiveness of the proposed method.\",\"PeriodicalId\":138215,\"journal\":{\"name\":\"2011 IEEE International Conference on Computer Science and Automation Engineering\",\"volume\":\"141 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-06-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE International Conference on Computer Science and Automation Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSAE.2011.5952902\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE International Conference on Computer Science and Automation Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSAE.2011.5952902","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

针对异步电机驱动系统,提出了一种改进的自适应逆控制策略。同时对参考信号和干扰信号进行控制,达到最佳效果。将基于变步长和变域的自适应LMS算法应用于变频调速系统,具有较好的初始收敛速度、时变系统的滤波能力和稳定精度。计算机仿真结果和实时实验结果表明了所提方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Induction motor control based on adaptive inverse control
In this paper, An improved adaptive inverse control strategy is presented for induction motors drive system. The reference signal and the disturbance signal are controlled, which can achieve optimal effect in the meantime. Applying adaptive LMS algorithm based on variable step and variable region to variable frequency speed regulation system, the initial convergence rate, tricking ability of time-varying system and stable precision are best. Computer simulation results and the outcomes of real-time experiment are included in the paper to show the effectiveness of the proposed method.
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