Application of CMAC Neural Network & PID Control on Hydraulic Speed Servo System

Pointing on nonlinear and parameters vary with time in the velocity servo system, and the requirement of servo system is difficult to meet by the traditional PID control scheme. A control scheme of ANN-based PD controller is developed here for velocity tracking control for an electro-hydraulic velocity servo system. In this paper the mathematical model is established for the system, and the PhD controller based on cerebellar model articulation controller (CMAC) are designed and connected in parallel. Numerical simulation results indicate that the proposed control scheme has an excellent performance on high precision velocity tracking ability and rejection of disturbance, comparing with conventional PhD control strategy.