Double Vector Based Direct Voltage Predictive Control Based on Direct Torque Control

Model predictive control(MPC) is a widely studied control strategy in the field of power electronics. MPC does not need a modulation stage and has the characteristics of fast dynamic response, flexible multi-objective control, simplicity and ease in implementation. However, this control method is computation extensive due to the iterative optimization calculation process, raising demand for high-performance processors and making it hard for practical applications. Based on the idea of direct torque control, a double vector based direct voltage predictive control(2VB-DVPC) strategy is proposed. The proposed control method utilizes a predefined look-up table to select switch states, thus avoiding the tedious calculation process and reducing the computation burden. The comparative simulation models of traditional MPC and 2VB-DVPC are built in Matlab/Simulink for verification. The simulation results verify that the proposed 2VB-DVPC control strategy can effectively reduce the amount of calculation of the algorithm while ensuring dynamic and steady-state performance. The average switching frequency is fixed and the complexity of harmonics filter design is reduced.