Intelligent Control for Pneumatic Servo System

Abstract

Internal model control (IMC) has a number of advantages for enhancing control performance. IMC can minimize disturbance greatly. IMC is attractive for industrial users because it has only one tuning paramete. In this paper, we propose an intelligent control method in which IMC control is combined with neural networks (NN). NN is used to get the suitable control parameter when the plant contains non-linear elements. We apply the proposed intelligent control method for a pneumatic servo system which usually contains non-linearity. The effectiveness of the proposed design method is confirmed by experiments using the existent pneumatic servo system.