A method of searching PID controller´s optimized coefficients for Buck converter using particle swarm optimization

This paper presents the method of searching optimized PID controller´s coefficients for Buck converter using PSO-particle swarm optimization. Recently, PSO, which can be used for parameter optimization, becomes attractive because its computation simplicity relative to other evolutionary algorithms such as GA. A problem is that PID controller´s coefficients found with PSO may be not suitable which causes large overshoot and bad robustness. This paper proposed a method to solve this problem by improving the ratio of the proportion term through changing evolution conditions. According to the experimental results, the proposed method is feasible and the effect is good.