In order to reduce ripple of torque and stator flux in conventional model predictive control (MPC) for induction motor due to the fixed action time of voltage vectors, deadbeat (DB) control is used to optimize the action time. An optimized strategy is proposed to simplify candidate voltage vectors and eliminate weighting factor. Control performances and real-time performances of the conventional MPC, the conventional deadbeat model predictive control (DB-MPC) and the proposed strategy are compared through simulation and experiment. Simulation results show that conventional MPC can decrease torque ripple by extending voltage vectors. Compared with MPC, DB-MPC can decrease torque ripple, stator flux ripple and total harmonic distortion (THD) of stator current dramatically and it can decrease stator flux ripple and THD of current by extending voltage vectors. The proposed strategy decreases candidate voltage vectors, eliminates weighting factor and keeps the control performances almost the same as the conventional DB-MPC. Time consumption results based on STM32F103 chip show that extending candidate voltage vectors will increase calculation burden. With the same candidate voltage vectors, the calculation burden of conventional MPC is almost the same as the conventional DB-MPC. With the same control performances, the proposed strategy can decrease time consumption markedly and improve the real-time performance.