Only seven fundamental voltage vectors can be chosen in each sampling cycle in the traditional model predictive current control of linear induction motors, which leads to significant variations in thrust and current. The proposed dual vector model predictive current control method selects two voltage vectors per sampling cycle, and can use non-zero voltage vectors for the second voltage vector selection. Additionally, the selection range of voltage vectors is expanded to include voltage vectors with varying amplitude and direction. The cost function accounts for both the current overcurrent problem and the effect of action time on the selection of voltage vectors, improving the accuracy of the voltage vector selection. As a result, the voltage vector selection is more precise. When compared to the conventional model predictive current control, the simulation results demonstrate that the suggested approach effectively lowers current and thrust fluctuations while maintaining good dynamic and static performance.