{"title":"基于广义系统集隶属度估计的无刷直流电机故障检测","authors":"Zhenhua Wang;Danxu Lian;Vicenç Puig;Yi Shen","doi":"10.1109/TCST.2025.3547257","DOIUrl":null,"url":null,"abstract":"Brushless direct-current (BLdc) motors are pivotal in electric vehicles, drones, and industrial systems due to their high efficiency and reliability. However, faults in stators, rotors, or inverters may degrade performance. In this article, we focus on the problem of model-based fault detection of BLdc motors. First, a high-fidelity model of the BLdc motor is developed, explicitly incorporating inverter switching behaviors, winding, back EMF, rotor inertia, and Hall sensors, which is formulated as a discrete-time-varying descriptor system. Based on this model, a fault detection method is proposed using a set-membership estimation theory. The proposed BLdc motor model has higher fidelity, and the fault detection method has more relaxed design conditions. Finally, a hardware-in-the-loop (HIL) platform, including a BLdc motor, is established. After that, the platform is used to validate the fidelity of the proposed BLdc motor model and the effectiveness of the fault detection method.","PeriodicalId":13103,"journal":{"name":"IEEE Transactions on Control Systems Technology","volume":"33 5","pages":"1640-1650"},"PeriodicalIF":3.9000,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Fault Detection for Brushless Direct-Current Motor Using Descriptor System-Based Set-Membership Estimation\",\"authors\":\"Zhenhua Wang;Danxu Lian;Vicenç Puig;Yi Shen\",\"doi\":\"10.1109/TCST.2025.3547257\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Brushless direct-current (BLdc) motors are pivotal in electric vehicles, drones, and industrial systems due to their high efficiency and reliability. However, faults in stators, rotors, or inverters may degrade performance. In this article, we focus on the problem of model-based fault detection of BLdc motors. First, a high-fidelity model of the BLdc motor is developed, explicitly incorporating inverter switching behaviors, winding, back EMF, rotor inertia, and Hall sensors, which is formulated as a discrete-time-varying descriptor system. Based on this model, a fault detection method is proposed using a set-membership estimation theory. The proposed BLdc motor model has higher fidelity, and the fault detection method has more relaxed design conditions. Finally, a hardware-in-the-loop (HIL) platform, including a BLdc motor, is established. After that, the platform is used to validate the fidelity of the proposed BLdc motor model and the effectiveness of the fault detection method.\",\"PeriodicalId\":13103,\"journal\":{\"name\":\"IEEE Transactions on Control Systems Technology\",\"volume\":\"33 5\",\"pages\":\"1640-1650\"},\"PeriodicalIF\":3.9000,\"publicationDate\":\"2025-03-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Control Systems Technology\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10925532/\",\"RegionNum\":2,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"AUTOMATION & CONTROL SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Control Systems Technology","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10925532/","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
Fault Detection for Brushless Direct-Current Motor Using Descriptor System-Based Set-Membership Estimation
Brushless direct-current (BLdc) motors are pivotal in electric vehicles, drones, and industrial systems due to their high efficiency and reliability. However, faults in stators, rotors, or inverters may degrade performance. In this article, we focus on the problem of model-based fault detection of BLdc motors. First, a high-fidelity model of the BLdc motor is developed, explicitly incorporating inverter switching behaviors, winding, back EMF, rotor inertia, and Hall sensors, which is formulated as a discrete-time-varying descriptor system. Based on this model, a fault detection method is proposed using a set-membership estimation theory. The proposed BLdc motor model has higher fidelity, and the fault detection method has more relaxed design conditions. Finally, a hardware-in-the-loop (HIL) platform, including a BLdc motor, is established. After that, the platform is used to validate the fidelity of the proposed BLdc motor model and the effectiveness of the fault detection method.
期刊介绍:
The IEEE Transactions on Control Systems Technology publishes high quality technical papers on technological advances in control engineering. The word technology is from the Greek technologia. The modern meaning is a scientific method to achieve a practical purpose. Control Systems Technology includes all aspects of control engineering needed to implement practical control systems, from analysis and design, through simulation and hardware. A primary purpose of the IEEE Transactions on Control Systems Technology is to have an archival publication which will bridge the gap between theory and practice. Papers are published in the IEEE Transactions on Control System Technology which disclose significant new knowledge, exploratory developments, or practical applications in all aspects of technology needed to implement control systems, from analysis and design through simulation, and hardware.