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the traditional PID control because of the nonlinear control system, will lead to increased concussion, and will cause the instability of the closed-loop system, the system design and maintenance caused great difficulties. In order to solve this problem, proposed the predictive control system design of an improved BP algorithm for nonlinear. Training of different lag object using BP neural network algorithm, based on learning object based on the design of the ULN controller. This paper makes several groups of experiments, the simulation results show that, this method has better control effect than the traditional method, the robust performance of the system more.