Double Fuzzy Pitch Controller of Wind Turbine Designed by Genetic Algorithm

Abstract

This study took the pitch angle in the wind turbine as the control target. The performance of the fuzzy pitch angle controller has a strong correlation with its parameter tuning. The quality of the parameters tuning even determine whether the output converges. Analyzes the effect of parameters tuning on the output of the controller. In order to obtain better performance of the controller, this study introduced genetic algorithm (GA) to optimize the variable pitch system and the parameters of the main fuzzy controller are tuned online using the sub-fuzzy controller. According to the analysis of simulation results, the double fuzzy controller designed could deal with input signals of different pitch angles. Reduced the mechanical losses of blade starts.