Optimal PID controller with saturation for impact machines by genetic algorithms

Abstract

A newly developed discrete-time control design method for impact machines is proposed. It is composed of the identification and control of a plant using genetic algorithms, where the optimal parameter setting of PID controller with saturation and no use of velocity measurement is done. By computer simulation, it is demonstrated that the proposed method is effective: the plant is identified very well, the larger the generation grows, the higher the fitness becomes, the dynamic behavior is greatly improved as the generation becomes large, the proposed control is very superior to PID control tuned with Ziegler-Nichols parameters.