{"title":"基于ekf的PMSM驱动逆变器故障检测与隔离","authors":"Dan Luo, S. Seong","doi":"10.1109/ICCAS.2014.6987733","DOIUrl":null,"url":null,"abstract":"This paper deals with a new method PMSM driver inverter faults detection and isolation based on EKF (Extended Kalman Filter). Firstly, a nonlinear model of PMSM diver where the on resistance of inverter FET is included as state variable is derived. Secondly, the method to detect and isolate inverter fault from the estimated on resistance is presented. Finally, the usefulness of the proposed scheme is verified by simulation results.","PeriodicalId":6525,"journal":{"name":"2014 14th International Conference on Control, Automation and Systems (ICCAS 2014)","volume":"62 1","pages":"1152-1157"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"EKF-based fault detection and isolation for PMSM driver inverter\",\"authors\":\"Dan Luo, S. Seong\",\"doi\":\"10.1109/ICCAS.2014.6987733\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper deals with a new method PMSM driver inverter faults detection and isolation based on EKF (Extended Kalman Filter). Firstly, a nonlinear model of PMSM diver where the on resistance of inverter FET is included as state variable is derived. Secondly, the method to detect and isolate inverter fault from the estimated on resistance is presented. Finally, the usefulness of the proposed scheme is verified by simulation results.\",\"PeriodicalId\":6525,\"journal\":{\"name\":\"2014 14th International Conference on Control, Automation and Systems (ICCAS 2014)\",\"volume\":\"62 1\",\"pages\":\"1152-1157\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 14th International Conference on Control, Automation and Systems (ICCAS 2014)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCAS.2014.6987733\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 14th International Conference on Control, Automation and Systems (ICCAS 2014)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCAS.2014.6987733","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
EKF-based fault detection and isolation for PMSM driver inverter
This paper deals with a new method PMSM driver inverter faults detection and isolation based on EKF (Extended Kalman Filter). Firstly, a nonlinear model of PMSM diver where the on resistance of inverter FET is included as state variable is derived. Secondly, the method to detect and isolate inverter fault from the estimated on resistance is presented. Finally, the usefulness of the proposed scheme is verified by simulation results.
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