2016 IEEE Advanced Information Management,Communicates,Electronic and Automation Control Conference (IMCEC)

127 / 2016-06-21 00:10:30

Design of BP Neural Network Controller for Ball-beam System

NN Controller,BP NN,Ball-beam,NN training

A BP NN (back propagation neural network) stable controller for ball-beam system is designed in this paper. The controller is constructed by a three-layer forward neural network, and Fletcher-Reeves conjugate gradient algorithm used to adjust net weights. The NN Training samples for controller is obtained from root locus controller. after off-line trained, controller is put into on-line control for ball-beam system. Through simulation off line and used in real system, the result shows that this NN controller response fast, overshoot smaller and feasible in the control of ball-beam system. It is more effective than the root locus controller.