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Design of Fuzzy Controller for Direct Drive Wind Turbines 被引量:2

Design of Fuzzy Controller for Direct Drive Wind Turbines
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摘要 Based on the research results of these years,this paper proposes a design of 3MW direct-driven wind generation inverter,and takes much effort in the control algorithm research and MATLAB simulation.Some wonderful results are obtained.All this may provide the reference for practical application.The fuzzy controllers are designed,based on fuzzy logic control theory,which can perfect control of wind generation system with no mathematic model.Models of permanent magnet synchronous generator(PMSG) and dual pulse width modulation(PWM) converter with their controllers are set by MATLAB/Simulink.In addition,experiments are made on the simulation platform of variable speed constant frequency(VSCF) wind power generation system.The behavior of dual PWM converter is demonstrated by simulations and experiment,and the control strategy is valid and correct. Based on the research results of these years, this paper proposes a design of 3 MW direct-driven wind generation inverter, and takes much effort in the control algorithm research and MATLAB simulation. Some wonderful results are obtained. All this may provide the reference for practical application. The fuzzy controllers are designed, based on fuzzy logic control theory, which can perfect control of wind generation system with no mathematic model. Models of permanent magnet synchronous generator (PMSG) and dual pulse width modulation (PWM) converter with their controllers are set by MATLAB/Simulink. In addition, experiments are made on the simulation platform of variable speed constant frequency (VSCF) wind power generation system. The behavior of dual PWM converter is demonstrated by simulations and experiment, and the control strategy is valid and correct.
出处 《Journal of Shanghai Jiaotong university(Science)》 EI 2012年第2期209-214,共6页 上海交通大学学报(英文版)
关键词 wind power multiple structure inverter(MSI) fuzzy control wind power, multiple structure inverter (MSI), fuzzy control
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