{"title":"SRM转子位置估计的磁流变法","authors":"J. Lyons, S. R. Macminn, M. A. Preston","doi":"10.1109/IAS.1991.178199","DOIUrl":null,"url":null,"abstract":"A family of nonintrusive methods is presented for estimating the shaft angle of a switched reluctance machine. Such methods can be utilized for commutation control of the SRM (switched reluctance machine) thereby eliminating the requirement for a shaft position sensor. These methods rely on the machine's inherent flux/current magnetic characteristics to infer rotor position from measurements of stator flux-linkage and current during normal phase excitation. Position estimation schemes are presented for SRMs in which both single and multiple simultaneous phases are excited. Also presented is a simulated sensing performance using measured SRM data processed according to the proposed position lumped-parameter estimation scheme.<<ETX>>","PeriodicalId":294244,"journal":{"name":"Conference Record of the 1991 IEEE Industry Applications Society Annual Meeting","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1991-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"245","resultStr":"{\"title\":\"Flux-current methods for SRM rotor position estimation\",\"authors\":\"J. Lyons, S. R. Macminn, M. A. Preston\",\"doi\":\"10.1109/IAS.1991.178199\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A family of nonintrusive methods is presented for estimating the shaft angle of a switched reluctance machine. Such methods can be utilized for commutation control of the SRM (switched reluctance machine) thereby eliminating the requirement for a shaft position sensor. These methods rely on the machine's inherent flux/current magnetic characteristics to infer rotor position from measurements of stator flux-linkage and current during normal phase excitation. Position estimation schemes are presented for SRMs in which both single and multiple simultaneous phases are excited. Also presented is a simulated sensing performance using measured SRM data processed according to the proposed position lumped-parameter estimation scheme.<<ETX>>\",\"PeriodicalId\":294244,\"journal\":{\"name\":\"Conference Record of the 1991 IEEE Industry Applications Society Annual Meeting\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1991-09-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"245\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Conference Record of the 1991 IEEE Industry Applications Society Annual Meeting\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IAS.1991.178199\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference Record of the 1991 IEEE Industry Applications Society Annual Meeting","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IAS.1991.178199","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Flux-current methods for SRM rotor position estimation
A family of nonintrusive methods is presented for estimating the shaft angle of a switched reluctance machine. Such methods can be utilized for commutation control of the SRM (switched reluctance machine) thereby eliminating the requirement for a shaft position sensor. These methods rely on the machine's inherent flux/current magnetic characteristics to infer rotor position from measurements of stator flux-linkage and current during normal phase excitation. Position estimation schemes are presented for SRMs in which both single and multiple simultaneous phases are excited. Also presented is a simulated sensing performance using measured SRM data processed according to the proposed position lumped-parameter estimation scheme.<>