Aiming at the problems that the traditional Model Predictive Control (MPC) of Brushless Direct Current Motor (Brushless direct current motor, BLDCM) relies on precise mathematical models and has insufficient robustness, A research on brushless DC motor control based on dual-vector model predictive control is proposed. The current control strategy is predicted through a two-vector model to replace the traditional prediction model of current control, thereby enhancing the dynamic response and anti-interference capabilities. The simulation model of the BLDCM control system was built in MATLAB/Simulink. The feasibility of this strategy under complex working conditions was verified through simulation. It was compared with the traditional two-vector model prediction current control strategy under various operating conditions such as stable operation of BLDCM, sudden load increase and decrease, and change of the set speed value. The simulation results show that the dual-vector model prediction current control strategy proposed in this paper maintains the good dynamic performance of the traditional strategy while improving the steady-state performance of the system.