Simultaneous Diagnosis of Open-Switch and Current Sensor Faults of Inverters in IM Drives Through Reduced-Order Interval Observer

IF 7.2 1区 工程技术 Q1 AUTOMATION & CONTROL SYSTEMS IEEE Transactions on Industrial Electronics Pub Date : 2024-11-11 DOI:10.1109/TIE.2024.3485708
Shuiqing Xu;Hongyan Yu;Hai Wang;Hui Chai;Mingyao Ma;Hongtian Chen;Wei Xing Zheng
{"title":"Simultaneous Diagnosis of Open-Switch and Current Sensor Faults of Inverters in IM Drives Through Reduced-Order Interval Observer","authors":"Shuiqing Xu;Hongyan Yu;Hai Wang;Hui Chai;Mingyao Ma;Hongtian Chen;Wei Xing Zheng","doi":"10.1109/TIE.2024.3485708","DOIUrl":null,"url":null,"abstract":"This article presents a novel approach for diagnosing open-switch (OS) faults and current sensor (CS) faults in induction motor (IM) drives using a designed reduced-order interval observer. First, the proposed method utilizes system augmentation and decomposition techniques to decouple the OS faults from the original IM drive system. Subsequently, a reduced-order interval observer is innovatively introduced to estimate the state and the CS faults simultaneously. In addition, by leveraging the interval observer, fault detection and identification methods are proposed to effectively diagnose and distinguish between OS faults and CS faults. The key merit of this approach is that not only can both types of faults in IM drives be simultaneously diagnosed without the need for complex classification algorithms, but the robustness and fast fault diagnosis time can be achieved. Experimental results and comparative analysis are put forward to demonstrate the availability of the developed diagnosis algorithm.","PeriodicalId":13402,"journal":{"name":"IEEE Transactions on Industrial Electronics","volume":"72 6","pages":"6485-6496"},"PeriodicalIF":7.2000,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Industrial Electronics","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10748567/","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0

Abstract

This article presents a novel approach for diagnosing open-switch (OS) faults and current sensor (CS) faults in induction motor (IM) drives using a designed reduced-order interval observer. First, the proposed method utilizes system augmentation and decomposition techniques to decouple the OS faults from the original IM drive system. Subsequently, a reduced-order interval observer is innovatively introduced to estimate the state and the CS faults simultaneously. In addition, by leveraging the interval observer, fault detection and identification methods are proposed to effectively diagnose and distinguish between OS faults and CS faults. The key merit of this approach is that not only can both types of faults in IM drives be simultaneously diagnosed without the need for complex classification algorithms, but the robustness and fast fault diagnosis time can be achieved. Experimental results and comparative analysis are put forward to demonstrate the availability of the developed diagnosis algorithm.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
通过降序间隔观测器同时诊断 IM 驱动器中逆变器的开路开关和电流传感器故障
本文提出了一种利用设计的降阶区间观测器诊断异步电动机开路开关(OS)和电流传感器(CS)故障的新方法。首先,该方法利用系统增强和分解技术将操作系统故障与原始IM驱动系统解耦。随后,创新性地引入了降阶区间观测器来同时估计状态和CS故障。此外,利用区间观测器,提出了故障检测和识别方法,有效地诊断和区分OS故障和CS故障。该方法的主要优点是可以在不需要复杂的分类算法的情况下同时诊断IM驱动器中的两种类型的故障,而且可以实现鲁棒性和快速的故障诊断时间。实验结果和对比分析验证了该诊断算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
IEEE Transactions on Industrial Electronics
IEEE Transactions on Industrial Electronics 工程技术-工程:电子与电气
CiteScore
16.80
自引率
9.10%
发文量
1396
审稿时长
6.3 months
期刊介绍: Journal Name: IEEE Transactions on Industrial Electronics Publication Frequency: Monthly Scope: The scope of IEEE Transactions on Industrial Electronics encompasses the following areas: Applications of electronics, controls, and communications in industrial and manufacturing systems and processes. Power electronics and drive control techniques. System control and signal processing. Fault detection and diagnosis. Power systems. Instrumentation, measurement, and testing. Modeling and simulation. Motion control. Robotics. Sensors and actuators. Implementation of neural networks, fuzzy logic, and artificial intelligence in industrial systems. Factory automation. Communication and computer networks.
期刊最新文献
Angle Tracking and Torque Synchronization Control Strategy of Triple Two-Phase Redundant Motor Steer-by-Wire System Based on Actor–Critic Learning Variable-Axis Extended Back-EMF Oriented Sensorless Method Based on Auxiliary Reference Frame SMO for MAS-IPMSM A Bounded Nonlinear Controller for a Class of Step-Up DC/DC Converters: Application to Renewable Energy Sources Comprehensive Comparison of Ferrite-Assisted Synchronous Reluctance Motors for Five Rotor Structures Dynamical Model-Based Variable Parameter Sliding Mode Control Strategy for Multi-DOF Spherical Joint Actuators
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1