Adaptive Particle Swarm Algorithm for the Parameters Tuning Offractional Order PID Controller

An parameter adaptive tuning particle swarm optimization method is proposed for the complexity of fractional order controller parameter tuning.In this algorithm, the parameter population was divided into three subpopulations, and the aggregation degree factor and the evolution speed factor are introduced in this algorithm.The individuals number and inertia weight of the subpopulations were dynamically adjusted according to the evolution speed factor and aggregation degree factor respectively, and the parameters tuning is implemented through the iteration calculation of optimization objective function.Simulation and analysis are carried on with the integral order objects model and fractional order objects model.These results show that the proposed method can provide better performance in time domain for the system and is better in the capability of anti-jamming.