{"title":"Robust T-S Fuzzy H∞ control of interior permanent magnet motor using weighted integral action","authors":"Seungkyu Park, H. Ahn","doi":"10.1109/ICCAS.2014.6987800","DOIUrl":null,"url":null,"abstract":"This paper presents a robust T-S Fuzzy controller with a weighted integral action for Permanent Magnet Synchronous Motor which have nonlinear dynamics. The T-S Fuzzy controller is used for the robustness of nonlinear systems and the weighted integral action is used for the improvement of control performance. A T-S Fuzzy controller is designed by combining the local controllers with the overall stability, and LMI(Linear Matrix Inequality)is used to determine the gains of linear controllers. The control performance of PMSM is changed into regulator problem by introducing the integral action and the weighting factor gives flexibility to a T-S fuzzy controller.","PeriodicalId":6525,"journal":{"name":"2014 14th International Conference on Control, Automation and Systems (ICCAS 2014)","volume":"6 1","pages":"1504-1507"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 14th International Conference on Control, Automation and Systems (ICCAS 2014)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCAS.2014.6987800","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
This paper presents a robust T-S Fuzzy controller with a weighted integral action for Permanent Magnet Synchronous Motor which have nonlinear dynamics. The T-S Fuzzy controller is used for the robustness of nonlinear systems and the weighted integral action is used for the improvement of control performance. A T-S Fuzzy controller is designed by combining the local controllers with the overall stability, and LMI(Linear Matrix Inequality)is used to determine the gains of linear controllers. The control performance of PMSM is changed into regulator problem by introducing the integral action and the weighting factor gives flexibility to a T-S fuzzy controller.