Parameter tuning of fractional-order PDμ controllers based on bacterial foraging -particle swarm optimization algorithm

摘要

An improved bacterial foraging-particle swarm optimization algrithm(BF-PSO) is proposed to tune parameters of fractional-order PDμ controllers for fractional-order systems with time-delays.Firstly,parameters are initialized based on the stable regions determined by the analytical method,overcoming the defect of uncertainty stable region by Ziegler-Nichols method.Moreover,the convergence and divergence operator is used to replace the elimination stage of BF-PSO,enhancing the efficiency and accuracy of search.Finally,the simulation results are analyzed to verify the effectiveness of this improved BF-PSO method.