Particle Swarm Optimization Technique for Temperature Process

The increasing complexity of the modern control systems has emphasized the idea of applying new approaches in order to solve design problems for different control engineering applications. Proportional-Integral-Derivative (PID) control schemes have been widely used in most of process control systems represented by chemical process for a long time. However, it is still a very key problem on how to determine or to tune the PID parameters, because these parameters have a great manipulate on the stability and the performance of the control system. In this paper, we discusses in detail about the Particle swarm Optimization (PSO) is an optimization method that belong to the swarm intelligence unit and its implementation in PID tuning for a controller of a Temperature Process. Compared to other conventional PID tuning methods like PID-ZN II, IMC-PID the result shows that improved performances are achieved with the proposed one. The ability of the PSO designed controller in terms of servo operation is also compared with conventional techniques and the results are simulated by using MATLAB.