{"title":"无传感器永磁同步电动机在线参数调试","authors":"S. Bolognani, M. Zigliotto, K. Unterkofler","doi":"10.1109/ISIE.1997.648995","DOIUrl":null,"url":null,"abstract":"Sensorless drives based on extended Kalman filter (EKF) techniques are deeply studied and developed. It is acknowledged that one major weak point is their parameter sensitivity. This paper investigates the application of a recursive parameter identification (RPI) method to the online estimate of the electrical parameters of permanent magnet synchronous motors (PMSM). The availability of well-approximated values increases the robustness of the EKF, and leads thus to superior performances of the drive.","PeriodicalId":134474,"journal":{"name":"ISIE '97 Proceeding of the IEEE International Symposium on Industrial Electronics","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"37","resultStr":"{\"title\":\"On-line parameter commissioning in sensorless PMSM drives\",\"authors\":\"S. Bolognani, M. Zigliotto, K. Unterkofler\",\"doi\":\"10.1109/ISIE.1997.648995\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Sensorless drives based on extended Kalman filter (EKF) techniques are deeply studied and developed. It is acknowledged that one major weak point is their parameter sensitivity. This paper investigates the application of a recursive parameter identification (RPI) method to the online estimate of the electrical parameters of permanent magnet synchronous motors (PMSM). The availability of well-approximated values increases the robustness of the EKF, and leads thus to superior performances of the drive.\",\"PeriodicalId\":134474,\"journal\":{\"name\":\"ISIE '97 Proceeding of the IEEE International Symposium on Industrial Electronics\",\"volume\":\"46 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-07-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"37\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ISIE '97 Proceeding of the IEEE International Symposium on Industrial Electronics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISIE.1997.648995\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ISIE '97 Proceeding of the IEEE International Symposium on Industrial Electronics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISIE.1997.648995","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
On-line parameter commissioning in sensorless PMSM drives
Sensorless drives based on extended Kalman filter (EKF) techniques are deeply studied and developed. It is acknowledged that one major weak point is their parameter sensitivity. This paper investigates the application of a recursive parameter identification (RPI) method to the online estimate of the electrical parameters of permanent magnet synchronous motors (PMSM). The availability of well-approximated values increases the robustness of the EKF, and leads thus to superior performances of the drive.