Parameters self-adaptive fuzzy controller based on genetic algorithm

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 parameters self-adaptive fuzzy controller based on genetic algorithm (GA). Simulation results show that the proposed fuzzy controller has better dynamics and static property. When the parameters or structure of plant is changed, the presented parameters self-adaptive fuzzy controller can maintain good performance indicators and has stronger robustness.