Research on self-tuning PID control strategy based on BP neural network

Neural network has strong learning ability and adaptability based on back-propagation algorithm. This paper describes the principle of BP algorithm and the proved BP neural network is used in the traditional PID controller, to overcome the hortcomings of the over-reliance the system model in the parameter of adjustment. Simulation results show that good control effect of Approximating the optimal parameters based on the BP neural network in traditional auto-tuning PID control in MATLAB.