Optimizing Parameters of Fuzzy Controller Based on Genetic Algorithm
Chaoying Liu, Huifang Wang, Xueling Song, Zheying Song, Kai Li · 2007
For effects of the parameters of fuzzy controller with nonlinear scaling factors on a system's performance and the parameters are interactive, this paper proposes a method based on genetic algorithm (GA) to tune and optimize the parameters. Simulation results show that system which adopted the parameters derived from the method has better dynamics and static property. When the parameters or structure of plant is changed, a fuzzy controller with nonlinear scaling factors can maintain good performance indicators through re-tuning parameters and has stronger robustness.