Parameters optimization of Internal Model Controller with control variable constraint

In order to solve the problems that the performance of Internal Model Controller may decline in its industrial plant implementation process which is often caused by constraints, In this paper we applied NPSO algorithm on the internal model control system with constraints. We optimized the parameters of Internal Model Controller by utilizing the advantages of NPSO algorithm which has a small amount of calculation and is easy to be realized. By this method, the control system can overcome the effects of the constraint, and the controller performance is effectively improved. We demonstrate the effectiveness of this method through the simulation experiment of a second-order plant which is representative. We also proved that this method has wide adaptability by simulate a group of models with constraints exists in industrial process.