A Model Predictive Control for Dual Active DC-DC Converter with Multi Object Optimization

In the application of power electronic transformers (PET), there are more and more researches on dual active DC-DC converters (DAB). In this paper, the DAB transmission power model under dual-phase-shift (DPS) control is analyzed, and a virtual direct power model predictive control (VDP-MPC) on DAB is proposed, which can effectively improve the efficiency and dynamic response performance without a current sensor. Finally, the VDP-MPC and current stress optimization (CSO) are combined, a simulation model is built on MATLAB/Simulink, and compared with the simulation model under traditional single-phase-shift (SPS) control. The simulation results show that the proposed method can improve steady-state performance, and significantly improve the dynamic response performance of DAB.