Study on PID neural network control system in the main electromotor of the fine rolling mill

The author analyzed the properties of a DC motor speed regulation system of rolling machine in the paper. He adopted PID neural network to form self-learning double loop closed DC moor speed regulating system. The forward and back-propagation are introduced and the double closed loop controller is constructed. The PID neural network adjusts its connective weight by self-learning and the complicated setting process to avoid tuning the parameters of the double loop controller. The better dynamic and steady-state behaviors are displayed in the simulation results.