The work aims to propose a synchronization control method for conveyor motor by combining neural network and fuzzy control, in order to improve the production efficiency and reduce the defective rate of the corrugated board. On the basis of analyzing the transmission device and technological requirements, the mathematical model for transmission process was established. The neuron PID controller was designed and it could be used to make up the shortfalls of traditional PID control, such as nonlinearity, time varying and strong coupling, etc. The fuzzy controller could be used for velocity compensation. The control system was designed accordingly based on DSP. Finally, the experimental study was carried out. The control algorithm had fast convergence speed and the control system had good stability. It could achieve the synchronization control over all motors. The control method can satisfy the production requirements of corrugated board.