Fuzzy Adaptive Control for Wind Energy Conversion System Based on Model Reference
Considering wind power generation system with variable-speed squirrel-cage induction generators SGIG, a Model Reference Fuzzy Adaptive (MRFA) controller was proposed for harvesting the maximum power from wind, The designed MRFA controller was established by embedding fuzzy controller into model reference adaptive control framework, substituting complicated traditional adaptive rules with the fuzzy inverse model. The simplified control model was applied to the Wind Energy Conversion System (WECS) and the simulation was well done. The simulation results show that the proposed controller has the advantages of shortening the time for system adjustment and quickening the response speed, higher anti-interference ability and adaptability to parameter varation than conventional PID controllers.
Wind Energy Conversion System Harvesting mazimum power point tracking Fuzzy control MRFAC
Wu Dinghui Xu Lili Ji Zhicheng
Institute of Electrical Automation Jinagnan University Wuxi, China.214122
国际会议
2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)
广西桂林
英文
1783-1787
2009-06-17(万方平台首次上网日期,不代表论文的发表时间)