Mh. Aghaseyedabdollah, Y. Alaviyan, H. Azmi, A. Yazdizadeh
{"title":"Fuzzy Fractional Order Sliding Mode Controller Design for a Wind Turbine with DFIG","authors":"Mh. Aghaseyedabdollah, Y. Alaviyan, H. Azmi, A. Yazdizadeh","doi":"10.1109/ICEE52715.2021.9544228","DOIUrl":null,"url":null,"abstract":"This paper presents a fuzzy fractional sliding mode control (FFSMC) design with a fuzzy fractional order sliding surface. The capabilities of the proposed method are shown by simulation on a wind turbine with a doubly-fed induction generator (DFIG). In order to eliminate the chattering effect and reduce error, fuzzy logic control is used to tuning the gain of the fractional order sliding surface, and also by using the fractional order Lyapunov theorem, the stability of the closed-loop system is proved. Simulations results show the merits of using fuzzy logic for online tuning gains of the fractional order sliding surface on tracking and reducing chattering.","PeriodicalId":254932,"journal":{"name":"2021 29th Iranian Conference on Electrical Engineering (ICEE)","volume":"68 7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 29th Iranian Conference on Electrical Engineering (ICEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEE52715.2021.9544228","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
This paper presents a fuzzy fractional sliding mode control (FFSMC) design with a fuzzy fractional order sliding surface. The capabilities of the proposed method are shown by simulation on a wind turbine with a doubly-fed induction generator (DFIG). In order to eliminate the chattering effect and reduce error, fuzzy logic control is used to tuning the gain of the fractional order sliding surface, and also by using the fractional order Lyapunov theorem, the stability of the closed-loop system is proved. Simulations results show the merits of using fuzzy logic for online tuning gains of the fractional order sliding surface on tracking and reducing chattering.