The Study on the Membership Function Shape of Fuzzy Controller Optimization
Since it is difficult to determine a fuzzy controller parameters,which need to match the test cars complex nonlinear dynamic characteristics.Based on particle swarm optimization algorithm,a fuzzy self-tuning controller parameters optimization method is developed.The controller is reconstructed by using particle swarm optimization,which can randomly chosen values in the value range of membership functions shape point in many times.And to keep track of the objective function as best,the membership function shape optimization problem of fuzzy self-tuning controller is solved.The simulation results show that the optimized controller has good control performance,which can get controller parameters by using particle swarm optimization method.
Adaptive Cruise Control Fuzzy Self-Tuning Controller Membership function Particle Swarm Optimization
Tao Wu Zhenhai Gao Yang You
State Key Laboratory of Automotive Simulation and Control,Jilin University,Changchun,China
国际会议
沈阳
英文
1633-1636
2012-09-26（万方平台首次上网日期，不代表论文的发表时间）