Said Boubzizi, Hafedh Abid, M. Kharrat, N. Essounbouli, M. Chaabane
{"title":"Backstepping and T.S fuzzy control for induction machine","authors":"Said Boubzizi, Hafedh Abid, M. Kharrat, N. Essounbouli, M. Chaabane","doi":"10.1109/STA.2014.7086740","DOIUrl":null,"url":null,"abstract":"In this paper, we present an application of a Takagi Sugeno (TS) Fuzzy logic backstepping control for enhancing performance of the machine drive. The equations states of induction machine are described in a d-q frame related to the rotating stator field. In the first step, the state feedback linearization technique is used for decoupling speed and flux controls. In the second step, we have been developed a control scheme basis of fuzzy backstepping. The simulation results in MATLAB environment show that the proposed scheme gives a satisfactory performance.","PeriodicalId":125957,"journal":{"name":"2014 15th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 15th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/STA.2014.7086740","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, we present an application of a Takagi Sugeno (TS) Fuzzy logic backstepping control for enhancing performance of the machine drive. The equations states of induction machine are described in a d-q frame related to the rotating stator field. In the first step, the state feedback linearization technique is used for decoupling speed and flux controls. In the second step, we have been developed a control scheme basis of fuzzy backstepping. The simulation results in MATLAB environment show that the proposed scheme gives a satisfactory performance.