PID parameter tuning based on improved particle swarm optimization algorithm

Abstract To address the shortcomings of particle swarm algorithm in solving PID controller parameter optimization problem late stage, an improved is proposed for problem. The optimized by introducing a nonlinear decreasing inertia weight adjustment strategy so that pre-flight speed particles does not drop too fast, thus balancing global search ability with local and avoiding falling into optimum. Simulation experiments were conducted Matlab/Simulink using standard PSO, ZN formula method, respectively. results show enhances stability, convergence speed, accuracy parameters better performance indicators.