Tuning of PID Controller for Time Delayed Process Using Particle Swarm Optimization

This paper proposes PID controller tuning for time delayed process using particle swarm optimization. There is a need to control the process with time delay in many industries. Presence of dead time in control system makes the system uncertain and gives large overshoot. When the time delay becomes longer compare to system time constant, or when the time delay varies, then control of such system becomes very difficult by classical tuning method. However many techniques of PID controller tuning came in existence in recent years which gives better results compare to classical tuning rule that is Ziegler Nichols Tuning method. This paper presents a new scheme for tuning of PID controller with time delay process. Particle swarm optimization is the topic of recent research and many researchers are working on it. It is a population based technique which is inspired by the social behavior of biological organism. It is an efficient and fast tuning scheme compare to other conventional techniques. This paper presents simulation results of time delayed process using PSO and a comparison with Ziegler Nichols tuning method.