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.