نویسنده
Abdelrahem, M., Kouzou, A., Kennel, R., Rodriguez, J., Ahmed, M., Makhamreh, Hamza, Harbi, I.
تاریخ انتشار
2025-06
محل انتشار
-
IEEE
موضوع
Predictive control, Multilevel inverter (MLI), Gain-free, Flying capacitor (FC) balance, Current tracking, Hybrid power systems, Industrial electronics, Mathematical models, Regulation, Switching frequency, Inverters, Predictive control, Tuning, Cost function, Topology
نوع
دوره ای
زبان
انگلیسی
دیجیتال
بله
نسخه خطی
خیر
کتابخانه
دانشگاه اوزیغین
شناسه دارایی کتابخانه
0278-0046
شماره ثبت
e479a151-25c8-45fd-a3c5-3d61d0f75d24
محل کتابخانه
Electrical & Electronics Engineering
تاریخ
2025-06
یادداشتها
Deutscher Akademischer Austauschdienst ; German Academic Exchange Service ; Technische Universität München ; Agencia Nacional de Investigación y Desarrollo ; Agencia Nacional de Investigación y Desarrollo
متن نمونه
Model predictive control (MPC) is a powerful strategy for tackling multiobjective control challenges, but it often involves a laborious process of tuning weighting factors. This article proposes a gain-free MPC method for a recently developed nine-level T-type converter (9L-T-2C), which offers advantages over traditional topologies, such as fewer components and improved efficiency. Drawing inspiration from Lyapunov's theory, this method avoids the use of weighting factors while effectively handling three targets, including current tracking, balancing of flying capacitors (FCs), and regulation of the neutral point (NP). Comparable with the traditional finite-control-set MPC (FCS-MPC), the proposed controller demonstrates high performance concerning all objectives. Additionally, it showcases superior resilience against model uncertainties when compared with the traditional approach. Experimental validation of the proposed MPC method is conducted in grid-connected operation under several conditions. The proposed method is subjected to a comparative analysis via the experimental implementation, where it is compared with a proportional-resonant (PR) controller and other state-of-the- art MPC methods. This analysis reveals the advantages of the proposed method, including eliminating the need for gains or weighting factors, improved robustness, and effective control of the FCs.
DOI
10.1109/TIE.2024.3485627
Cilt
72
