Tuning PID Controller Bases on Random Search Algorithms

Abstract

In this paper, we present two well known random search algorithms which are Genetic algorithm (GA) and Particle Swarm optimization (PSO) to find optimal parameters for PID controller for a model of DC motor is used as a plant. To test performance of GA and PSO algorithms, we compare them with the traditional Ziegler-Nichols method in term of performance indices. The simulation results show that Proportional Integral and Derivative controller (PID) designed by GA and PSO algorithms yields better results than the traditional method in terms of the performance index. Keywords—Tuning PID; GA algorithm; PSO algorithm; Ziegler-Nichols method; performance index; optimization.