A Universal Robust Algorithm for Parameters Estimation of Induction Machines at Standstill Operation in Variable Frequency Drives

M. A. Khoshhava, M. Abarzadeh, H. Mosaddegh, Mohammbad Babaie, S. Caron, K. Al-haddad
{"title":"A Universal Robust Algorithm for Parameters Estimation of Induction Machines at Standstill Operation in Variable Frequency Drives","authors":"M. A. Khoshhava, M. Abarzadeh, H. Mosaddegh, Mohammbad Babaie, S. Caron, K. Al-haddad","doi":"10.1109/ITEC55900.2023.10186999","DOIUrl":null,"url":null,"abstract":"In this paper a comprehensive method is proposed for the electrical parameters estimation of three phase induction machines (IMs) at standstill condition. All the electrical parameters of IMs with high accuracy are extracted at standstill condition by employing the proposed estimation technique. This method is comprised of four steps. In the first and second steps, the stator resistance and the leakage reactance are estimated, respectively. The third step is related to rotor time constant estimation and the magnetizing inductance is estimated in the last step. The estimation process is based on the Γ-inverse model of IMs. Based on the estimated parameters, all of the parameters of the conventional d-q model of IMs are also calculated. The functionality of the proposed method is verified through multiple simulations executed for several IMs with different power ratings. Implementing this method can significantly improve the functionality of various IM drive systems, especially those based on the electrical model of machine.","PeriodicalId":234784,"journal":{"name":"2023 IEEE Transportation Electrification Conference & Expo (ITEC)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE Transportation Electrification Conference & Expo (ITEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITEC55900.2023.10186999","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

In this paper a comprehensive method is proposed for the electrical parameters estimation of three phase induction machines (IMs) at standstill condition. All the electrical parameters of IMs with high accuracy are extracted at standstill condition by employing the proposed estimation technique. This method is comprised of four steps. In the first and second steps, the stator resistance and the leakage reactance are estimated, respectively. The third step is related to rotor time constant estimation and the magnetizing inductance is estimated in the last step. The estimation process is based on the Γ-inverse model of IMs. Based on the estimated parameters, all of the parameters of the conventional d-q model of IMs are also calculated. The functionality of the proposed method is verified through multiple simulations executed for several IMs with different power ratings. Implementing this method can significantly improve the functionality of various IM drive systems, especially those based on the electrical model of machine.
变频驱动异步电机静止运行参数估计的通用鲁棒算法
本文提出了一种三相感应电机静止状态下电气参数估计的综合方法。利用所提出的估计技术,在静止状态下提取了所有精度较高的机动目标的电气参数。该方法由四个步骤组成。在第一步和第二步中,分别估算定子电阻和漏抗。第三步是转子时间常数的估计,最后一步是磁化电感的估计。估算过程基于im的Γ-inverse模型。在估计参数的基础上,计算了IMs常规d-q模型的所有参数。通过对具有不同额定功率的多个im进行多次仿真,验证了所提出方法的功能。实现这种方法可以显著提高各种IM驱动系统的功能,特别是那些基于电机模型的IM驱动系统。
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