{"title":"Pitch Angle Control for Variable Speed Wind Turbine Using Fuzzy Logic","authors":"Satyabrata Sahoo, B. Subudhi, G. Panda","doi":"10.1109/ICIT.2016.019","DOIUrl":null,"url":null,"abstract":"Pitch angle control system is one of the most diversified and popularly used control techniques to regulate the output power and speed of a wind turbine, when wind speed is above the rated speed. Usually PI controller is used for pitch angle control. But in this paper Proportional-Integral-Derivative (PID) and Fuzzy Logic Control (FLC) methods are used. As our system contains strong non-linearity, fuzzy logic control has the potential to resolve the non-linearity issue. The control objective is by controlling pitch angle and generator torque, generator power regulation is optimized and torsional torque fluctuation of drive train is minimized. The MATLAB-SIMULINK models have been developed for simulation of the control schemes. The simulation results show that the FLC can achieve better control performances than conventional pitch angle control strategies.","PeriodicalId":220153,"journal":{"name":"2016 International Conference on Information Technology (ICIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Information Technology (ICIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIT.2016.019","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 14
Abstract
Pitch angle control system is one of the most diversified and popularly used control techniques to regulate the output power and speed of a wind turbine, when wind speed is above the rated speed. Usually PI controller is used for pitch angle control. But in this paper Proportional-Integral-Derivative (PID) and Fuzzy Logic Control (FLC) methods are used. As our system contains strong non-linearity, fuzzy logic control has the potential to resolve the non-linearity issue. The control objective is by controlling pitch angle and generator torque, generator power regulation is optimized and torsional torque fluctuation of drive train is minimized. The MATLAB-SIMULINK models have been developed for simulation of the control schemes. The simulation results show that the FLC can achieve better control performances than conventional pitch angle control strategies.