PID Parameter Optimization of Hydraulic Turbine Speed Regulating System Based on GAs/PSO Combination Algorithm

A PID controller parameter auto-tuning approach based on GAs/PSO combination algorithm is proposed,which has the advantages of genetic algorithm(GAs) and particle swarm optimization(PSO).The new population of combination algorithm is formed by immigration of best GA and PSO individuals,in which the real coding and adaptive mutation factor are employed in GA and the exponentially degeneration momentum factor is adopted in velocity updating of PSO,which can speed up the convergence of PSO.The simulation results in PID parameter optimization of hydraulic turbine speed regulating system show that the combination algorithm is superior to the single GAs or PSO one,the dynamic performance of closed loop system is satisfactory.