Application of Neural Network PID Control in Hump Pushing Peak Process

Abstract

The hump pushing peak speed is a key element which influences the hump disintegration ability. The neural network PID control was used to improve the push-hump speed. For every push-hump process, the neural network PID controller was designed to optimize the control of hump locomotive speed. The neural network PID control model and parameters adjustment algorithm were given. The simulation results showed that: neural network PID control and PID control all could meet the requirements, while the neural network PID control was better than PID control in the tracking ability.