Design of fuzzy logic guidance law based on PSO algorithm
Shiyong Li · Journal of Harbin University of Commerce · 2008
Against design randomness of traditional fuzzy guidance law,this paper suggested PSO algorithm fuzzy guidance law on the parameter optimization method.Using particle swarm optimization adjust fuzzy variables membership,parameters such as scale factor,and through repeated optimization fuzzy inference rules so close to optimal.The method overcome arbitrariness of fuzzy logic design,fuzzy guidance law increased the accuracy and robustness.Simulation results show that fuzzy proportional guidance law by such an optimization method is superior to the traditional proportional guidance law.