Predictive Control for Networked Buck Converter Systems with Time Delays Based on Fully Actuated System Theory

This paper proposes a predictive control strategy for networked buck converter systems with time delays, leveraging fully actuated system (FAS) theory to address the control challenges caused by delays in networked environments. A higher-order dynamic model of the buck converter is derived using FAS modeling theory, enabling precise voltage regulation through state feedback and integral control. To compensate for time delays, a predictive control approach is designed by discretizing the FAS model and using recursive prediction to correct delayed states. Simulation results demonstrate that the proposed method achieves faster dynamic response, reduced overshoot, and improved robustness under sudden load changes compared to traditional PI control. Furthermore, the predictive controller effectively stabilizes the system under fixed network delays.