{"title":"考虑定子铁损的扩展卡尔曼滤波同步磁阻电动机无传感器控制","authors":"T. Senjyu, K. Kinjo, N. Urasaki, K. Uezato","doi":"10.1109/PESC.2003.1218326","DOIUrl":null,"url":null,"abstract":"This paper presents a position sensorless control of synchronous reluctance motor (SynRM) considering the stator iron loss with the extended Kalman filter (EKF). The EKF estimates the rotor position and speed of the SynRM. The EKF is developed based on the both the voltage equation considering the stator iron loss and dynamic equation of SynRM. The validity of the proposed method is confirmed by experiment results.","PeriodicalId":236199,"journal":{"name":"IEEE 34th Annual Conference on Power Electronics Specialist, 2003. PESC '03.","volume":"90 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Sensorless control of synchronous reluctance motors considering the stator iron loss with extended Kalman filter\",\"authors\":\"T. Senjyu, K. Kinjo, N. Urasaki, K. Uezato\",\"doi\":\"10.1109/PESC.2003.1218326\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a position sensorless control of synchronous reluctance motor (SynRM) considering the stator iron loss with the extended Kalman filter (EKF). The EKF estimates the rotor position and speed of the SynRM. The EKF is developed based on the both the voltage equation considering the stator iron loss and dynamic equation of SynRM. The validity of the proposed method is confirmed by experiment results.\",\"PeriodicalId\":236199,\"journal\":{\"name\":\"IEEE 34th Annual Conference on Power Electronics Specialist, 2003. PESC '03.\",\"volume\":\"90 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-06-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE 34th Annual Conference on Power Electronics Specialist, 2003. PESC '03.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PESC.2003.1218326\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE 34th Annual Conference on Power Electronics Specialist, 2003. PESC '03.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PESC.2003.1218326","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Sensorless control of synchronous reluctance motors considering the stator iron loss with extended Kalman filter
This paper presents a position sensorless control of synchronous reluctance motor (SynRM) considering the stator iron loss with the extended Kalman filter (EKF). The EKF estimates the rotor position and speed of the SynRM. The EKF is developed based on the both the voltage equation considering the stator iron loss and dynamic equation of SynRM. The validity of the proposed method is confirmed by experiment results.