Particle Swam Optimization Based Optimal PID Parameters for Air Heater Temperature Control System

This paper concentrated on the design of PID controller for air heater temperature control system. It is appeared that PID controllers are utilized in many industrial applications. However, the major problem of PID controller design is how to identify the optimal parameters of PID so that the optimal performance of the system can be obtained. Then, this paper proposes the Particle Swarm Optimization (PSO) method for tuning optimal PID parameters for the air heater. The simulation results are achieved that the PSO optimized PID controller is able to provide an improved closed-loop system performances over the Ziegler-Nichols tuning method, and Genetic Algorithm (GA) in the perspectives of transient responses; i.e, the integral of square error (ISE), settling time and overshoot.