Model predictive current control of Dual Three-phase Permanent Magnet Synchronous Motor based on double virtual vectors

Model Predictive Control (MPC) of traditional Dual Three-phase Permanent Magnet Synchronous Motor (DTP-PMSM) algorithm often uses a single virtual vector to suppress harmonics, but its vector range is limited, resulting in a large ripple in torque and current in the control effect. Given the aforementioned issues, this study suggests a Double Virtual Vector Model Predictive Current Control (DVV-MPCC) strategy. Utilizing the foundation of the virtual vector, a zero vector and the adjacent virtual vector are combined to construct an anticipated voltage vector, so that the output range of the synthetic vector can reach any amplitude and direction. By incorporating the deadbeat concept, the calculation of the action time for each virtual vector is precisely determined. Finally, the prediction model is employed to refine the value function, enabling the selection of the optimal expected vector for implementation on the inverter. The simulation outcomes demonstrate the effectiveness of the strategy in mitigating torque ripple and current ripple.