{"title":"Accurate rotor position detection and sensorless control of SRM for super-high speed operation","authors":"Longya Xu, Chuanyang Wang","doi":"10.1109/APEC.2000.826129","DOIUrl":null,"url":null,"abstract":"Based on the general nonlinear magnetizing model (GNMM) from the authors' previous research work, an improved method of detecting rotor position for sensorless control of SRMs in super-high speed operation has been developed. With minimum input data, the approximated GNMM is obtained and the rotor speed estimated. Then the rotor position is detected by the motion equation. To remove error, the proposed scheme updates the reference for rotor position detection at critical points using the flux observation and the GNMM is adaptively tuned. The improved rotor position detection method has been implemented by fully exploring the computation power of the modern DSP. Laboratory testing on different types of SRMs with sensorless control up to 20,000 RPM is accomplished.","PeriodicalId":347959,"journal":{"name":"APEC 2000. Fifteenth Annual IEEE Applied Power Electronics Conference and Exposition (Cat. No.00CH37058)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"70","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"APEC 2000. Fifteenth Annual IEEE Applied Power Electronics Conference and Exposition (Cat. No.00CH37058)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APEC.2000.826129","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 70
Abstract
Based on the general nonlinear magnetizing model (GNMM) from the authors' previous research work, an improved method of detecting rotor position for sensorless control of SRMs in super-high speed operation has been developed. With minimum input data, the approximated GNMM is obtained and the rotor speed estimated. Then the rotor position is detected by the motion equation. To remove error, the proposed scheme updates the reference for rotor position detection at critical points using the flux observation and the GNMM is adaptively tuned. The improved rotor position detection method has been implemented by fully exploring the computation power of the modern DSP. Laboratory testing on different types of SRMs with sensorless control up to 20,000 RPM is accomplished.