Neural network based PID control analysis

Through the popularity of the conventional PID control system, the implementation of the neural network on PID has gained a special concern in the control technology. Sometimes the traditional PID control technology is less encouraged for its delayed convergence rate and easy to fall into local minimum. So this research analyzed an upgraded BP algorithm and tried to design an implementation process to apply on PID control system. The algorithm convergence speed for the training process is quite good. Moreover, the trained BP neural network has self learning capability and has strong adaptive capability as well. So by applying this in the PID controllers can improve the performance very well. In the paper the PID and BP neural network, control process and control algorithm and the simulation results of neural network based PID control has been analyzed.