Fuzzy Controller of High Precision Based on Genetic Algorithm
Qian Xin¹,Shi Wei¹,Zhang Guanghui²
(1.School of Electrical Engineering,Xi'an Jiaotong University,Xi'an 710049,China;2.Automation Department, Xi'an University of Technology)

Abstract：In order to improve the steady-state accuracy of fuzzy controller, the major source of steady-state error is presented by analyzing the general PD-type fuzzy controller. A modidfied genetic algorithm is used which can adjust the crossover rate and mutation rate self-adaptively to optimize the membership functions and the initial value of the quantifying factors and to adjust quantifying factors on-line based on the output of control searching table. The theoretical analysis and the simulation results show that this method has better performance and effectiveness than the other ones.
Keywords：fuzzy control;steady-state error; genetic algorithms;the quantifying factor