{"title":"The neural network self-adaptive algorithm application on mechanism pitch-adjust system of wind turbine","authors":"Xing-jia Yao, Guang De Liu, Y. Liu, C. Zhang","doi":"10.1109/ICEMS12746.2007.4412248","DOIUrl":null,"url":null,"abstract":"With the requirements of the megawatt wind turbine controlling and operation stability, the new neural network PID controller based on the CMAC self-adaptive learning algorithm designed, and its self-study and self-regulating performances can fit the real-time control system control demands and smooth operation to reduce the gust strike on the wind turbine.","PeriodicalId":211729,"journal":{"name":"2007 International Conference on Electrical Machines and Systems (ICEMS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 International Conference on Electrical Machines and Systems (ICEMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEMS12746.2007.4412248","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
With the requirements of the megawatt wind turbine controlling and operation stability, the new neural network PID controller based on the CMAC self-adaptive learning algorithm designed, and its self-study and self-regulating performances can fit the real-time control system control demands and smooth operation to reduce the gust strike on the wind turbine.