目的 为了提高瓦楞纸板其生产效率、降低次品率，将神经网络和模糊控制相结合，提出一种传送电机同步控制方法。方法 在分析传送装置和工艺要求的基础上，建立传送过程数学模型。设计神经元PID控制器，可用于弥补传统PID控制在解决非线性、时变、强耦合等方面的不足，模糊控制器可用于速度补偿。基于DSP设计相应的控制系统，最后进行实验研究。结果 控制算法的收敛速度较快，控制系统稳定性较好，能够实现各电机的同步控制。结论 该控制方法可以满足瓦楞纸板生产要求。

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.