Application of intelligent PID control for robot

On the basis of analysing the error of robot that results from walking in plane, a new PID controller with BP neural networks is proposed in the paper. The BP Neural Network algorithm is used in PID control because it could adjust parameters itself in real time. By using the BP Neural Network PID controller, the robot can go straight accurately. Simulation results demonstrate that the new PID controller with BP Neural Networks can not only overcome uncertainties and external disturbances, but also get rather good requirement of tracking precision, thus possess better robustness and control performance.