Adaptive Fuzzy Logic Control to Enhance Pitch Angle Controller for Variable-Speed Wind Turbines

Abstract

The paper presents a pitch angle control strategy for the doubly-fed induction generator (DFIG) wind turbine system. The strategy is developed, using the fuzzy logic control, in which it does not need the information of the system and wind speed. Also, to enhance system robustness to parameters variations and optimize dynamic and static control performance, an adaptive PI-like control loop is added to fuzzy logic control (FLC) and used as pitch angle controller in the variable-speed wind turbine system. With the proposed control strategy, when the generator speed is higher than the rated value, the wind power can be limited by adjusting the pitch angle to decrease the mechanical fatigue and enhance the efficiency. The effectiveness of the proposed method is verified by the simulation results for the 2MW doubly-fed induction generator wind turbine system.