{"title":"Fuzzy logic based pitch angle controller/or SCIG based wind energy system","authors":"K. A. Naik, C. P. Gupta","doi":"10.1109/RDCAPE.2017.8358240","DOIUrl":null,"url":null,"abstract":"In this paper, fuzzy logic based pitch angle controller is proposed for Squirrel-Cage Induction Generator (SCIG) based wind energy system (WES) to maintain the aerodynamic power at its rated value. The proposed controller generates the pitch angle command signal which can compensate the non-linear characteristics of the pitch angle to the wind speed. The generator output power employed as a control input to the fuzzy logic controller and hence wind turbine smoothly controlled to limit the output power at the rated level. The results obtained with proposed controller has compared with conventional PI controller. The results show that the proposed fuzzy logic based pitch angle controller offers better performance than the conventional PI controller.","PeriodicalId":442235,"journal":{"name":"2017 Recent Developments in Control, Automation & Power Engineering (RDCAPE)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Recent Developments in Control, Automation & Power Engineering (RDCAPE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RDCAPE.2017.8358240","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11
Abstract
In this paper, fuzzy logic based pitch angle controller is proposed for Squirrel-Cage Induction Generator (SCIG) based wind energy system (WES) to maintain the aerodynamic power at its rated value. The proposed controller generates the pitch angle command signal which can compensate the non-linear characteristics of the pitch angle to the wind speed. The generator output power employed as a control input to the fuzzy logic controller and hence wind turbine smoothly controlled to limit the output power at the rated level. The results obtained with proposed controller has compared with conventional PI controller. The results show that the proposed fuzzy logic based pitch angle controller offers better performance than the conventional PI controller.