Optimization of PID parameters with an improved simplex PSO

摘要

In this paper, we adopt the ‘0.618’ method to select the compression factor and expansion factor for the simplex particle swarm optimization algorithm. We use our new method to optimize parameters of a Proportion Integral Differential (PID) controller. The experimental results show that our method can effectively solve the slow convergence problem and give a better performance than the conventional PID method does.