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.