A multi-motor synchronous control strategy of paper machine was applied to improve the production quality and reduce the breakage rate of paper. The neural network PID algorithm based on parallel synchronization was determined by comparing with the structure of master-slave synchronization control and parallel synchronization control, for which modeling and simulating were conducted by Matlab/Simulink. The results showed that after the introduction of speed compensation, the speed of the two motors gradually increased to a given speed and maintained a stable ratio 1.01. At t=2 s, only the load torque of the second motor was changed, but the rotational speed of the two motors substantially did not decrease. This method enhances the synchronization ability of multi-motor synchronous control system and improves the anti-jamming performance. It can effectively prevent the motor load torque caused by mutations in tight paper breaking or loose folds in the process of paper machine operation, and provide a new method for synchronous control.