{"title":"简单负载试验中永磁同步电机参数的确定","authors":"Wu Maolin, Huang Shenghua","doi":"10.1109/UPEC.2006.367556","DOIUrl":null,"url":null,"abstract":"This paper describes a method of determination of permanent magnet synchronous machines (PMSM) parameters using simple load test combination with a linear regression model, which can avoid the disadvantages of the traditional load test. In the test, only supply phase voltage, phase current and the rotor position would be required, then the linear regression model was improved to simplify algorithm using QR decompose of matrix. The parameters including e0, R, Ld and Lq obtained by using this technique vary more smoothly, while results obtained by no load test are fluctuating. This method can be used to derive the nonlinear parameter identified model of PMSM in order to apply in an on-line computer controlled environment at the different operating conditions","PeriodicalId":184186,"journal":{"name":"Proceedings of the 41st International Universities Power Engineering Conference","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Determination of PMSM Parameters from Simple Load Test\",\"authors\":\"Wu Maolin, Huang Shenghua\",\"doi\":\"10.1109/UPEC.2006.367556\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes a method of determination of permanent magnet synchronous machines (PMSM) parameters using simple load test combination with a linear regression model, which can avoid the disadvantages of the traditional load test. In the test, only supply phase voltage, phase current and the rotor position would be required, then the linear regression model was improved to simplify algorithm using QR decompose of matrix. The parameters including e0, R, Ld and Lq obtained by using this technique vary more smoothly, while results obtained by no load test are fluctuating. This method can be used to derive the nonlinear parameter identified model of PMSM in order to apply in an on-line computer controlled environment at the different operating conditions\",\"PeriodicalId\":184186,\"journal\":{\"name\":\"Proceedings of the 41st International Universities Power Engineering Conference\",\"volume\":\"41 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 41st International Universities Power Engineering Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/UPEC.2006.367556\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 41st International Universities Power Engineering Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/UPEC.2006.367556","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Determination of PMSM Parameters from Simple Load Test
This paper describes a method of determination of permanent magnet synchronous machines (PMSM) parameters using simple load test combination with a linear regression model, which can avoid the disadvantages of the traditional load test. In the test, only supply phase voltage, phase current and the rotor position would be required, then the linear regression model was improved to simplify algorithm using QR decompose of matrix. The parameters including e0, R, Ld and Lq obtained by using this technique vary more smoothly, while results obtained by no load test are fluctuating. This method can be used to derive the nonlinear parameter identified model of PMSM in order to apply in an on-line computer controlled environment at the different operating conditions