Research on Optimizing Parameters of Pitch Angle Controller Based on Genetic Algorithm

Abstract

This paper takes the pitch angle control of the wind turbine as the research object, for the sake of optimizing the performance of the pitch angle controller. The three parameters of the quantization factor $K_{e} ,\,K_{ec}$ and the scale factor $K_{u}$ in the fuzzy controller have a significant impact on the pitch angle. In this paper, the wind turbine is modeled in Matlab/Simulink, and the optimal solution of $K_{e} ,K_{ec}$ and $K_{u}$ is sought by the genetic algorithm. The simulation reveal that the optimized fuzzy controller has faster response and less fluctuation than the fuzzy controller without optimization and PID controller, which effectively avoids the loss caused by frequent blade start.