Model predictive control for DAB under extended-phase-shift considering components uncertainty

For the dual active bridge (DAB) DC-DC converters, parameter uncertainty (circuit parameters, input and/or load perturbations) affect their performance, such as the dynamic performance and backflow power. Here, to deal with the uncertainties, a robust model predictive control (RMPC) for the DAB DC-DC converter under extended-phase-shift (EPS) control is proposed to improve dynamic performance and reduce the backflow power of the DAB for the first time. First, a cost function consisting of backflow power and the output voltage is established. Second, considering the uncertainty of the circuit parameters, a robust term is added to the prediction model to increase the robustness. Finally, the effectiveness and superiority of the proposed method are verified by experiments and comparisons with existing methods. The proposed RMPC method shows superior performance in the sense of improved dynamic performance and reduced backflow power.