扩展卡尔曼滤波检测电机定子绕组匝间短路

K. E. Merraoui, A. Ferdjouni
{"title":"扩展卡尔曼滤波检测电机定子绕组匝间短路","authors":"K. E. Merraoui, A. Ferdjouni","doi":"10.1109/MED.2014.6961383","DOIUrl":null,"url":null,"abstract":"This article presents two variants of the extended Kalman filter (EKF), applied to the fault detection and isolation (FDI) of the inter-turn short circuits in stator windings of the induction motor (IM). Besides the state variables, these two variants allow estimating some parameters, named fault factors. They are three fault factors, i.e., one by phase, which are to be estimated. The first EKF variant estimates the state vector which is extended, simultaneously, to all the three fault factors. The second one uses three EKF, each one of them is extended to only one fault factor, to estimate them. This three EKF form a multi-model and they are switched sequentially, between extended models, with the same dwell time.","PeriodicalId":127957,"journal":{"name":"22nd Mediterranean Conference on Control and Automation","volume":"255 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Detection of inter-turn short circuits in stator windings of im by extended Kalman filters\",\"authors\":\"K. E. Merraoui, A. Ferdjouni\",\"doi\":\"10.1109/MED.2014.6961383\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article presents two variants of the extended Kalman filter (EKF), applied to the fault detection and isolation (FDI) of the inter-turn short circuits in stator windings of the induction motor (IM). Besides the state variables, these two variants allow estimating some parameters, named fault factors. They are three fault factors, i.e., one by phase, which are to be estimated. The first EKF variant estimates the state vector which is extended, simultaneously, to all the three fault factors. The second one uses three EKF, each one of them is extended to only one fault factor, to estimate them. This three EKF form a multi-model and they are switched sequentially, between extended models, with the same dwell time.\",\"PeriodicalId\":127957,\"journal\":{\"name\":\"22nd Mediterranean Conference on Control and Automation\",\"volume\":\"255 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-06-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"22nd Mediterranean Conference on Control and Automation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MED.2014.6961383\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"22nd Mediterranean Conference on Control and Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MED.2014.6961383","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

摘要

本文提出了扩展卡尔曼滤波(EKF)的两种变体,并将其应用于感应电动机定子绕组匝间短路的故障检测与隔离。除了状态变量之外,这两个变量还允许估计一些参数,称为故障因素。它们是要估计的三个故障因素,即按阶段一个故障因素。第一个EKF变量估计状态向量,该状态向量同时扩展到所有三个故障因素。第二种方法使用三个EKF,每个EKF只扩展到一个故障因子,对故障因子进行估计。这三个EKF形成了一个多模型,它们在扩展模型之间以相同的停留时间依次切换。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Detection of inter-turn short circuits in stator windings of im by extended Kalman filters
This article presents two variants of the extended Kalman filter (EKF), applied to the fault detection and isolation (FDI) of the inter-turn short circuits in stator windings of the induction motor (IM). Besides the state variables, these two variants allow estimating some parameters, named fault factors. They are three fault factors, i.e., one by phase, which are to be estimated. The first EKF variant estimates the state vector which is extended, simultaneously, to all the three fault factors. The second one uses three EKF, each one of them is extended to only one fault factor, to estimate them. This three EKF form a multi-model and they are switched sequentially, between extended models, with the same dwell time.
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