OPTIMAL TUNING OF PID CONTROLLER PARAMETERS ON A DC MOTOR BASED ON ADVANCED PARTICLE SWARM OPTIMIZATION ALGORITHM

Tuning of PID controller parameters is an important problem in control field. To solve this problem we used an Advanced Particle Swarm Optimization which is powerful stochastic evolutionary algorithm that is used to find the global optimum solution in search space. The proposed method has fast searching speed compared to standard PSO. Furthermore this method accelerates the convergence. However, it has been observed that the standard PSO algorithm has premature and local convergence phenomenon when solving complex optimization problem. This new algorithm is proposed to augment the original PSO searching speed. The optimum tuned PID controller is applied to a DC motor. The simulation results show that the PID controller designed by APSO demonstrates better results than GA, PSO and even Improved PSO technique.