Title :
Fuzzy PID Controller for Wind Turbines
Author :
Xiao Cheng ; Zhang Lei ; Yan Junqiu
Author_Institution :
Sch. of Electr. Eng. & Autom., Hebei Univ. of Technol., Tianjin, China
Abstract :
PID and fuzzy PID controller are applied into the wind turbine with nonlinear mathematical model. PID control has simple principle and its parameters setting are rather easy. Fuzzy control need not to establish the mathematical of the control system and has strong robustness. Fuzzy PID control is combined with PID control and fuzzy control. The advantages of fuzzy PID control are simple, easy in setting parameters and strong robustness. Fuzzy PID controller combines with closed-loop optimal fuzzy reasoning (COFR), which can effectively improve the robustness, when the robustness is special requirement. MATLAB software is used for simulations, results display that fuzzy PID controller which combines with COFR has better performances than PID controller when errors exist, especially robustness performance.
Keywords :
closed loop systems; fuzzy control; power generation control; three-term control; wind turbines; MATLAB software; PID control; closed-loop optimal fuzzy reasoning; fuzzy control; nonlinear mathematical model; wind turbines; Control systems; Fuzzy control; Fuzzy reasoning; Fuzzy sets; MATLAB; Mathematical model; Optimal control; Robust control; Three-term control; Wind turbines; closed-loop optimal fuzzy reasoning; fuzzy PID controller; wind turbine;
Conference_Titel :
Intelligent Networks and Intelligent Systems, 2009. ICINIS '09. Second International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-5557-7
Electronic_ISBN :
978-0-7695-3852-5
DOI :
10.1109/ICINIS.2009.28