The Interval Dynamic Model of the DAB Converter is Used for Robust Model Predictive Control

This paper focuses on the robustness issue caused by load resistance variations in the dual active bridge DC-DC (DAB) converter. It proposes a robust model predictive control algorithm and establishes an interval dynamic model. The algorithm consists of two parts: offline and online. In the offline part, the system parameters are treated as intervals instead of single values, and the corresponding interval dynamic model is established. Then, linear matrix inequalities (LMI) are used to solve the feedback control gain sequences. In the online part, the actual control law of the system is determined based on the position of the state variables in the polyhedral invariant set. Simulation results demonstrate that the designed controllers can maintain stable voltage output and good dynamic characteristics of the DAB converter under input voltage disturbances and load resistance variations. This ensures a certain level of robustness. Simulation results demonstrate the ability of the designed controllers to maintain stable voltage output and good dynamic characteristics of the DAB converter under input voltage disturbances and load resistance variations, ensuring a certain level of robustness.