A Model-based Predictive Control Method for Dual-Switched Single-Input Multiple-Output DC/DC Converter

Model Predictive Control (MPC) has emerged as an efficient alternative for the control of power converters. This paper presents a model predictive control strategy for a tripleoutput DC-DC converter that regulates $200 \mathrm{~V}, 5 \mathrm{~V}$, and 25 $\mathbf{V}$ outputs for an off-grid DC microgrid. The system model incorporates state-space representation with coupling effects, while the control algorithm optimizes tracking errors and crosscoupling effects using a Finite Control Set Model Predictive Control (FCS-MPC) strategy. The simulation results demonstrate fast transient behavior with rise times of 0.937 ms, settling time of 3.94 ms, voltage deviations of ($1-2 \%$), a nearly constant switching frequency of 10 kHz, and steady-state error less than 0.1% during different load and parameter variations. These performance indicators validate the effectiveness of the proposed control approach in managing complex multi-output power conversion systems.