An Intelligent Adaptive Robust Controller Based on Neural Network for a Pneumatic System

Abstract

Pneumatic actuator systems are widely applied in industrial automation. This paper proposes an intelligent adaptive robust controller(ARC) based on neural network(NN) to improve the applicability in a pneumatic servo system that consists of a pneumatic cylinder which is controlled by a proportional directional control valve. In this design, adaptive robust controller is provided with suitable control parameters automatically by a real-time neural network depending on feedback errors. So the ARC the tuning process that is time consuming and restricts the application of pneumatic systems is avoided. The experimental results show all the control parameters of ARC are converged and good control performance is achieved.