Parameters optimization study and analysis of PID controller in buck converter based on fuzzy particle swarm optimization algorithm

In the field of power electronics, PID error control technology which does not need to establish accurate mathematical model of controlled system. And its' design of control system is simple and practical, so it is widely used in power electronics DC/DC converter. As the typical circuit of DC/DC converter, Buck converter has strong nonlinear and time-varying. The traditional PID controller parameter tuning method cannot satisfy the control performance. Therefore, this paper adopt fuzzy particle swarm optimization algorithm, the control parameters of PID controller in Buck converter is optimized and the optimization result is given in the ITAE performance index. Finally, the optimization of this algorithm is analyzed and compared with the simulation results.