R. Antonello, M. Carraro, F. Tinazzi, M. Zigliotto
{"title":"Parametric identification of PM synchronous motors: A Hammerstein-model approach","authors":"R. Antonello, M. Carraro, F. Tinazzi, M. Zigliotto","doi":"10.1109/ICMECH.2013.6518531","DOIUrl":null,"url":null,"abstract":"In this paper, the problem of estimating the (quadrature) magnetic flux linkage in permanent magnet synchronous motors (PMSM) is solved by using an off-line closed-loop system identification procedure for Hammerstein models recently proposed in [1]. By parametrizing the magnetic flux nonlinearity in terms of a linear combination of triangular basis functions, a standard output error identification problem can be formulated and solved in a pseudo-optimal way using an iterated instrumental variable (IV) method. After discussing some details related to the design of the closed-loop identification experiment, the paper presents some experimental results that highlight the potentials of the proposed method.","PeriodicalId":448152,"journal":{"name":"2013 IEEE International Conference on Mechatronics (ICM)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE International Conference on Mechatronics (ICM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMECH.2013.6518531","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
In this paper, the problem of estimating the (quadrature) magnetic flux linkage in permanent magnet synchronous motors (PMSM) is solved by using an off-line closed-loop system identification procedure for Hammerstein models recently proposed in [1]. By parametrizing the magnetic flux nonlinearity in terms of a linear combination of triangular basis functions, a standard output error identification problem can be formulated and solved in a pseudo-optimal way using an iterated instrumental variable (IV) method. After discussing some details related to the design of the closed-loop identification experiment, the paper presents some experimental results that highlight the potentials of the proposed method.