Adaptation of PID controller using AI technique for speed control of isolated steam turbine

It is known that PID controller is employed in every facet of industrial automation. The application of PID controller span from small industry to high technology industry. Tuning the parameters of a PID controller is very important in PID control. Ziegler and Nichols proposed the well-known Ziegler-Nichols method to tune the coefficients of a PID controller. This tuning method is very simple, but cannot guarantee to be always effective. For this reason, this paper investigates the design of self tuning for a PID controller. For this study, the model selected is of isolated turbine speed control system. Isolated turbine system means that the turbine is not connected to the grid. The reason for this is that this model is often encountered in refineries in a form of steam turbine that uses hydraulic governor to control the speed of the turbine. The PID controller of the model will be designed using the adaptive fuzzy control method and the results analyzed. The same model will be redesigned using GA, PSO and ANFIS methods. The results of design methods will be compared, analyzed and conclusion will be drawn out of the simulation made.