{"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.
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.