The Hydraulic System of Intelligent Asphalt Disperser Based on Neural Network Internal Model Control

Abstract

Taking into consideration the lack of control precision of the hydraulic system of intelligent asphalt disperser, an internal model control method based on BP neural network was proposed. In this method, the ability of identification of complicated systems using neural network was combined with the feature that internal model control has low requirements on the model precision. In this way, the design of hydraulic controller of asphalt disperser can be achieved. The results show that this method has better robustness with regard to the systematic uncertainty and disturbance when compared with the PID control system, and the control effect is better, which provides a novel approach for the control of hydraulic system of intelligent asphalt disperser.