Model Predictive Control Based on Dynamic Event-Triggered Mechanism for DC-DC Buck Converters

The article proposes a dynamic event-triggered model predictive control (DET-MPC) method is proposed for DC-DC converters. The model prediction is executed once the trigger condition is met, and subsequently, the stability of the resulting closed-loop system is demonstrated. Firstly, it is shown that the dynamic event-triggered method can be more suitable in practical applications for DC-DC converters when compared with the traditional event-triggered method. In addition, the event trigger method is combined with model predictive control for the purpose of rolling optimization, and an event trigger condition(ETC) containing internal dynamic variables is designed. The simulation results demonstrate that the proposed method saves communication resources and reduces energy losses, thereby improving the conversion efficiency of the DC-DC converters.