{"title":"基于模糊逻辑的变速风力机俯仰角控制","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":"{\"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}","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}
Pitch Angle Control for Variable Speed Wind Turbine Using Fuzzy Logic
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.