Title :
Fuzzy PID control of induction generators
Author :
Yang, Zhiming ; Wang, Xiaorong
Author_Institution :
Sch. of Electron. & Inf. Eng., Chongqing Univ. of Sci. & Technol., Chongqing, China
Abstract :
Based on wind-turbine character analyzing, maximum wind energy tracking is selected as active power control target. A method of using fuzzy logic principles to deduce optimum turbine speed was proposed, to keep optimum tip speed rate operating without the wind velocity measurement. A dual-passage excitation fuzzy control strategy based on dynamic synchronous reference frame was applied to control the proposed optimal stator active and reactive power. The operational performances of the wind turbine system with DFIG with wind speed variation were analyzed and compared by using Matlab/Simulink. The results show the correctness and feasibility of the proposed control strategy.
Keywords :
asynchronous generators; fuzzy control; machine control; optimal control; power generation control; reactive power control; three-term control; wind turbines; Matlab-Simulink; doubly fed induction generators; dual-passage excitation fuzzy control strategy; dynamic synchronous reference frame; fuzzy PID control; fuzzy logic principles; maximum wind energy tracking; optimal stator active power control; optimal stator reactive power control; optimum tip speed rate; optimum turbine speed deduction; wind speed variation; wind turbine system; Fuzzy control; Generators; Mathematical model; Niobium; Wind energy; Wind speed; Wind turbines; doubly fed induction generators; excited control strategy; maximal wind energy capture;
Conference_Titel :
Cognitive Informatics & Cognitive Computing (ICCI*CC ), 2011 10th IEEE International Conference on
Conference_Location :
Banff, AB
Print_ISBN :
978-1-4577-1695-9
DOI :
10.1109/COGINF.2011.6016131
