目的 为改善造纸机多电机同步控制效果，降低纸张生产过程断裂率，基于神经网络PID算法设计一种造纸机速度链控制系统。方法 阐述造纸机的工艺流程，在此基础上建立造纸机速度同步控制数学模型。设计一个神经网络PID控制器，包括控制器结构和学习算法，可用于解决相关非线性问题，并进行仿真和试验研究。结果 该控制系统具有较好的稳定性、适应性，响应速度较快，同步精度高。结论 该方法增强了造纸机的同步跟随能力和抗干扰性能，可以有效避免断纸、褶皱等现象的发生，为造纸机多电机同步控制提供了一种有效的方法。

The work aims to design a kind of paper machine speed-chain control system based on neural network PID algorithm for the purpose of improving the multi-motor synchronization control effect of paper machine and reducing the paper breaking rate in production process. The technological process of paper machine was expounded. On the basis of this, the mathematical model for the speed synchronization control of paper machine was established. A neural network PID controller was designed, including the controller structure and learning algorithm. It could be used to solve the relevant nonlinear problems. Finally, the simulation and experimental research were carried out. The results showed that the control system had better stability, adaptability, faster response speed and high synchronous precision. As this method enhances the synchronous follow-up capability and anti-interference performance of the paper machine, it can effectively avoid paper breaking and folding, etc. and provides an effective method for the multi-motor synchronization control of paper machine.