Model Predictive Control for a Quad Active Bridge Converter With the Single-Phase Shift

• Published in: 2024 IEEE 19th Conference on Industrial Electronics and Applications (ICIEA) pp. 1 - 7
• Main Authors: Adam, Ahmed Hamed Ahmed, Chen, Jiawei, Zhu, Xinke
• Format: Conference Proceeding
• Language: English
• Published: IEEE 05.08.2024
• Subjects: Adaptation models; Computational modeling; electric aircraft; electric vehicles; moving discretized control set-model predictive control; Predictive models; quad active bridge; Robustness; Simulation; Steady-state; Vehicle dynamics
• ISSN: 2158-2297
• DOI: 10.1109/ICIEA61579.2024.10664862

This study introduces a novel moving discretized control set-model predictive control (MDCS-MPC) strategy for a quad active bridge (QAB) converter, addressing the challenges of dynamic response, coupling of power through different ports, and control complexity in QAB. Traditional control methods, such as PI control, often lack dynamic performance, coupling among the different ports, and sensitivity to load changes. This paper proposes an MDCS-MPC approach that predicts phase shift values through the converter model, ensuring fast dynamic performance and eliminating steady-state error in control variables. The prediction model's embedded circuit parameters and operating modes enhance performance across various power and terminal voltage ranges. An adaptive step is implemented for quick transitions, significantly reducing computational demands. Simulation results demonstrate the proposed strategy's effectiveness, providing superior dynamic response, robustness, and reduced computational requirements. Moreover, with the predictive controller, the voltage achieves a very fast dynamic response and does not show any significant voltage overshoot or undershoot, which indicates the superiority of the controller, offering a promising solution for improving efficiency and reliability in power conversion systems.