Research on Direct Current Motor PID Control System Based on BP Neural Networks

The mathematical model of DC(direct current) motor as the controlled object is established in this paper,and combines the algorithms of the neural network and PID control.With the self-learning function of the neural network,the self-tunings for parameters of PID are realized. This method can overcome disadvantages of PID as parameters which are difficult to determine and the control process which is hard to change self-adaptively,then embodied the neural network with the better intelligence and robustness. The simulation is researched by using matlab software,and the results show that the neural network PID control is more accurate and adaptive than the traditional PID,and the effect is more superior.