Parameter determination for induction motors

T. Haque, R. Nolan, Pragasen Pillay, J. Reynaud
{"title":"Parameter determination for induction motors","authors":"T. Haque, R. Nolan, Pragasen Pillay, J. Reynaud","doi":"10.1109/SECON.1994.324262","DOIUrl":null,"url":null,"abstract":"It is often necessary to determine the electrical parameters of hundreds of different motors in an industrial plant for system studies. Electrical parameters can be obtained by actually testing each of the motors, which is undoubtedly a tedious and time consuming task, if not impossible, due to the requirement of continuous operation of motors in the process industry, for example. The determination of the electrical parameters of motors can be accomplished more economically with the help of a new optimization technique called genetic algorithms. This method is widely accepted for its simplicity, ability to converge with minimal input from the user with a short computational time.<<ETX>>","PeriodicalId":119615,"journal":{"name":"Proceedings of SOUTHEASTCON '94","volume":"380 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of SOUTHEASTCON '94","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SECON.1994.324262","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

Abstract

It is often necessary to determine the electrical parameters of hundreds of different motors in an industrial plant for system studies. Electrical parameters can be obtained by actually testing each of the motors, which is undoubtedly a tedious and time consuming task, if not impossible, due to the requirement of continuous operation of motors in the process industry, for example. The determination of the electrical parameters of motors can be accomplished more economically with the help of a new optimization technique called genetic algorithms. This method is widely accepted for its simplicity, ability to converge with minimal input from the user with a short computational time.<>
感应电动机参数测定
为了进行系统研究,通常需要确定工业厂房中数百台不同电机的电气参数。电气参数可以通过实际测试每个电机来获得,这无疑是一项繁琐而耗时的任务,如果不是不可能的话,因为在过程工业中要求电机连续运行,例如。利用一种新的优化技术——遗传算法,可以更经济地完成电机电气参数的确定。该方法因其简单,能够在较短的计算时间内以最小的用户输入收敛而被广泛接受
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:481959085
Book学术官方微信