Robust Power Flow Inverse Model Predictive Control for Multi Active Bridge Converters
IEEE Transactions on Power Electronics, 2026 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Basım Tarihi: 2026
- Doi Numarası: 10.1109/tpel.2026.3717385
- Dergi Adı: IEEE Transactions on Power Electronics
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Aerospace Database, Compendex, INSPEC, Materials Science & Engineering Collection (ProQuest), Technology Collection (ProQuest)
- Anahtar Kelimeler: Inverse model predictive control, multi active bridge, power control, robust control
- Gazi Üniversitesi Adresli: Evet
Özet
This paper presents a robust power flow control technique for multi-active bridge (MAB) converters that effectively deal with the system's nonlinear dynamics and associated uncertainties. The proposed methodology is based on Inverse Model Predictive Control (IMPC), which determines the optimal phase shift between bridges while effectively mitigating the coupling effects and nonlinear interactions in the MAB converters. Unlike conventional Model Predictive Control (MPC), the IMPC approach avoids evaluating multiple phase-shift combinations, which substantially reduces computational complexity. Furthermore, the proposed control is designed to be robust against parametric uncertainties through feedback and correction loops, which represents a solution for a key challenge in the operation of highly nonlinear power converters. The proposed approach is experimentally implemented and validated on a lab-scale three-port MAB converter prototype. In addition, a comparative evaluation between the proposed IMPC and conventional MPC controllers is presented. The results show that IMPC delivers improved tracking accuracy over a wide range of operating conditions and uncertainties, while significantly reducing computational burden.