Abstract: To effectively compensate the influence of damping perturbation, unknown load and electromagnetic interference on the permanent magnet synchronous machine, and improve the control accuracy of the motor, a control method based on improved model prediction was proposed. Firstly, the permanent magnet synchronous machine model with complex disturbances such as damping perturbation, unknown load and electromagnetic interference was established. Then, the extended state observer was designed to accurately estimate the complex disturbances, and the results of complex disturbance estimation were introduced to improve the robustness of the traditional model predictive control. Finally, the predictive output and cost function were proposed, and the improved model prediction control law was obtained by rolling optimization, which realized the robust control for the permanent magnet synchronous machine. The simulation results show that the designed extended state observer can quickly and accurately estimate the complex disturbance, the maximum estimation error range is 0.2 r/min², and the improved model predictive control method can accurately track the command signal, the maximum rotational speed and acceleration error are 0.3 r/min and 0.3 r/min² respectively. In the actual test, the speed tracking error is only 0.5 r/min, which can effectively eliminate the influence of all kinds of interference in the permanent magnet synchronous machine, so as to greatly improve the machining accuracy of the work piece.