A Design of Evolutionary Tuning PID Controllers

Abstract PID control schemes have been widely used in most process control systems represented by chemical processes for a long time. However, it is still a very important problem how to determine or tune the PID parameters, because these parameters have a great influence on the stability and the performance of the control system. On the other hand, in the last twenty years, a genetic algorithm(GA) is attracted as one method which gives us suitable answers for search, optimization and machine learning problems. In this paper, a new evolutuinary tuning algorithm of PID parameters is proposed, in which the search area of PID parameters is sharply reduced by considering an effective parameters' area from the viewpoint of the control engineering. Finally, the newly proposed scheme is numerically evaluated on a simulation example.