M. Doumi, A. Aissaoui, A. Tahour, M. Abid, K. Tahir
{"title":"Non linear control of a doubly fed induction generator in wind turbines","authors":"M. Doumi, A. Aissaoui, A. Tahour, M. Abid, K. Tahir","doi":"10.1109/CEIT.2015.7233013","DOIUrl":null,"url":null,"abstract":"In this paper, a decoupling control strategy has been applied to control the active and reactive powers generated by a Double Feed Induction Generator (DFIG). We propose new control strategies based on fuzzy sliding mode in order to control the power of the wind turbine transmitted to the grid and to make the wind turbine adaptable to different constraints. The use of this method provides very satisfactory performance for the DFIG control, and the chattering effect is also reduced by the fuzzy mode. Simulations results show interesting performances of the system in terms of the reference tracking stability and the robustness against parameters variations.","PeriodicalId":281793,"journal":{"name":"2015 3rd International Conference on Control, Engineering & Information Technology (CEIT)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 3rd International Conference on Control, Engineering & Information Technology (CEIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CEIT.2015.7233013","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
In this paper, a decoupling control strategy has been applied to control the active and reactive powers generated by a Double Feed Induction Generator (DFIG). We propose new control strategies based on fuzzy sliding mode in order to control the power of the wind turbine transmitted to the grid and to make the wind turbine adaptable to different constraints. The use of this method provides very satisfactory performance for the DFIG control, and the chattering effect is also reduced by the fuzzy mode. Simulations results show interesting performances of the system in terms of the reference tracking stability and the robustness against parameters variations.