Novel PID controller parameters tuning method

There exists the disadvantages such as prematurity in particle swarm optimization because of the decrease of swarm diversity.In order to solve this problem,a new and improved version of particle swarm optimization algorithm is proposed combining the global best and local best model,termed GLBest-PSO algorithm.This algorithm incorporates global-local best inertia weight with global-local best acceleration coefficient.The velocity equation of the GLBest-PSO algorithm is simplified and the performance of the algorithm is improved.The ability of the GLBest-PSO algorithm is tested with a set of bench mark problems and the results of the simulation show the validity and better optimization performance.The algorithm is proposed to design the parameter optimization of PID controller.The simulation results show that the optimal PID controller based on the proposed method has a satisfying performance and is superior to the conventional PID controller based on the conventional tuning methods.