R. Beguenane, M. El Hachemi Benbouzid, M. Tadjine, Abdelhamid Tayebi
{"title":"基于MRAS策略的异步电机转速和转子时间常数估计","authors":"R. Beguenane, M. El Hachemi Benbouzid, M. Tadjine, Abdelhamid Tayebi","doi":"10.1109/IEMDC.1997.604233","DOIUrl":null,"url":null,"abstract":"This paper deals with simultaneous estimation of induction motor speed and its inverse rotor time constant for sensorless induction machine drive purposes. The proposed algorithm is based on the model reference adaptive system theory (MRAS). The simulation results seem to be very satisfactory for a large wide of supply frequency and torque load.","PeriodicalId":176640,"journal":{"name":"1997 IEEE International Electric Machines and Drives Conference Record","volume":"67 3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":"{\"title\":\"Speed and rotor time constant estimation via MRAS strategy for induction motor drives\",\"authors\":\"R. Beguenane, M. El Hachemi Benbouzid, M. Tadjine, Abdelhamid Tayebi\",\"doi\":\"10.1109/IEMDC.1997.604233\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper deals with simultaneous estimation of induction motor speed and its inverse rotor time constant for sensorless induction machine drive purposes. The proposed algorithm is based on the model reference adaptive system theory (MRAS). The simulation results seem to be very satisfactory for a large wide of supply frequency and torque load.\",\"PeriodicalId\":176640,\"journal\":{\"name\":\"1997 IEEE International Electric Machines and Drives Conference Record\",\"volume\":\"67 3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-05-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"16\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1997 IEEE International Electric Machines and Drives Conference Record\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEMDC.1997.604233\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1997 IEEE International Electric Machines and Drives Conference Record","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEMDC.1997.604233","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Speed and rotor time constant estimation via MRAS strategy for induction motor drives
This paper deals with simultaneous estimation of induction motor speed and its inverse rotor time constant for sensorless induction machine drive purposes. The proposed algorithm is based on the model reference adaptive system theory (MRAS). The simulation results seem to be very satisfactory for a large wide of supply frequency and torque load.