TUNING OF A PID CONTROLLER IN A SWITCHING REGULATOR USING PARTICLE SWARM OPTIMIZATION

Abstract

In this paper, the particle swarm optimization method has been employed to determine the optimum gains of a PID controller used in load voltage control of a dc buck converter. The PSO-based PID tuning technique is investigated with several design criteria such as minimization of overshoot, and integral time absolute error (ITAE). The dc chopper control system is investigated with different tuning approaches such as: Conventional empirical methods (Ziegler-Nichols & Cohen-Coon). Simulation studies proved that the PID controller tuned by PSO reveals superior response and good load regulation compared to the well-known ZN & CC methods. Moreover, the results have shown that PSO based tuning methods are stable and robust to wide load variation.