NNPID Applied in the Hydraulic AGC System

NNPID Applied in the Hydraulic AGC System

Abstract
A new neural network PID (NNPID) controller, which is based on PID by means of neural network’s ability of self-learning and adaptive, is presented. The NNPID controller is designed by combining neural network with PID control strategy. Additional momentum method, that is an improved BP algorithm, is used in the neural network is analyzed. This paper presents the control for the highly nonlinear, time-varying hydraulic AGC of rolling mills based on the NNPID controller. The simulation shows that the dynamic quality of the system is improved, and NNPID has good adaptability.
Keywords
PID control, neural network, BP algorithm, Hydraulic AGC