{"title":"Rotating HF signal injection method improvement based on robust phase-shift estimator for self-sensing control of IPMSM","authors":"A. Messali, M. Hamida, M. Ghanes, M. Koteich","doi":"10.1109/DEMPED.2019.8864921","DOIUrl":null,"url":null,"abstract":"This paper introduces some improvements for self-sensing control of permanent magnet synchronous machine (PMSM) based on high frequency (HF) signal injection methods. The contribution is twofold. Firstly, a new robust phase-shift estimator is proposed to compensate the effect of used filters, the inverter, and the simpling time effects on the rotor position estimation. Secondly, this paper proposes also to remove the high-pass filters (HPF) used to separate the HF component from the rotor position information leading to reduce the cost and the complexity of the implementation. The proposed self-sensing strategy is completely independent of electrical (inductances) and mechanical (inertia and friction) machine parameters thanks to the proposed step-by-step sliding mode tracking algorithm. The effectiveness and the performance of the proposed strategy are confirmed by experimental study in the framework of electrical propulsion benchmark used in automotive applications.","PeriodicalId":397001,"journal":{"name":"2019 IEEE 12th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)","volume":"363 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 12th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DEMPED.2019.8864921","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper introduces some improvements for self-sensing control of permanent magnet synchronous machine (PMSM) based on high frequency (HF) signal injection methods. The contribution is twofold. Firstly, a new robust phase-shift estimator is proposed to compensate the effect of used filters, the inverter, and the simpling time effects on the rotor position estimation. Secondly, this paper proposes also to remove the high-pass filters (HPF) used to separate the HF component from the rotor position information leading to reduce the cost and the complexity of the implementation. The proposed self-sensing strategy is completely independent of electrical (inductances) and mechanical (inertia and friction) machine parameters thanks to the proposed step-by-step sliding mode tracking algorithm. The effectiveness and the performance of the proposed strategy are confirmed by experimental study in the framework of electrical propulsion benchmark used in automotive applications.