PID control based on BP neural networks, proceeding from the basic principle, learning rules and algorithms of BP neural networks, is introduced in this paper. Better control qualities are obtained by using the dynamic BP algorithms of three-layer networks. Simulation results indicate that the PID control based on BP neural networks displays a strong robustness in dealing with the nonlinear and uncertain system.