An Integrated MPC Strategy for Minimizing Cross-Regulation in SIMO Boost Converters Based on Voltage and Inductor Current Control

Abstract

The conventional long-horizon model predictive control (MPC) approach addresses the cross-regulation issue in single-inductor multiple-output (SIMO) dc–dc converters by extending the prediction horizon, which increases computational demands. Additionally, the control complexity of this method is increased by the inclusion of load prioritization algorithms. This article introduces a single-horizon MPC strategy aimed at reducing cross regulation in SIMO dc–dc boost converters. The proposed voltage–current controlled integrated MPC (VCC-IMPC) strategy is designed with a dual-objective cost function by incorporating inductor current regulation into the cost function. In the proposed MPC framework, the reference value for the inductor current is determined based on the principles of power balance theory. This comprehensive approach minimizes cross-regulation effects by dynamically adjusting the inductor current reference based on the real-time load demand across each output port. To validate its efficacy, extensive simulations, and experiments are conducted to evaluate both the steady-state and dynamic performance of the proposed VCC-IMPC method. Comparative studies against existing state-of-the-art methods substantiate that the proposed control method effectively ensures minimal cross regulation in SIMO configurations with reduced control complexity, computational burden, and improved efficiency, thus establishing its superiority over conventional MPC control strategies.