A genetic tuning algorithm of PID parameters

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 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 is attracted as one method which gives us optimal answers for search, optimization and machine learning problems. In this paper, we propose a new genetic tuning algorithm of PID parameters, in which the search area of PID parameters is reduced sharply by considering an effective parameters´ area from the viewpoint of the control performance