Model-predictive control of multilevel inverters: challenges, recent advances, and trends

Name: Model-predictive control of multilevel inverters: challenges, recent advances, and trends
Author: Harbi, I., Rodriguez, J., Liegmann, E., Makhamreh, Hamza, Heldwein, M. L., Novak, M., Rossi, M., Abdelrahem, M., Trabelsi, M., Ahmed, M., Karamanakos, P., Xu, S.

İsim	Model-predictive control of multilevel inverters: challenges, recent advances, and trends
Yazar	Harbi, I., Rodriguez, J., Liegmann, E., Makhamreh, Hamza, Heldwein, M. L., Novak, M., Rossi, M., Abdelrahem, M., Trabelsi, M., Ahmed, M., Karamanakos, P., Xu, S.
Basım Tarihi:	2023-09
Basım Yeri	- IEEE
Konu	Capacitor balance, Current control, Dc-link balance, Model-predictive control (MPC), Multilevel inverter (MLI)
Tür	Süreli Yayın
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	0885-8993
Kayıt Numarası	97c65cce-3696-4e2a-aff8-f5f94a0985f2
Lokasyon	Electrical & Electronics Engineering
Tarih	2023-09
Notlar	Agencia Nacional de Investigación y Desarrollo
Örnek Metin	Model-predictive control (MPC) has emerged as a promising control method in power electronics, particularly for multiobjective control problems such as multilevel inverter (MLI) applications. Over the past two decades, improving the performance of MPC and tackling its technical challenges, such as computational load, modeling accuracy, cost function design, and weighting factor selection, have attracted great interest in power electronics. This article aims to discuss the current state of MPC strategies for MLI applications, describing the significance of each challenge with the reported effective solutions. Through this review, the MPC methods are categorized into two groups: direct MPC (without modulator) and indirect MPC (with modulator). The recent advances of each category are presented and analyzed, focusing on direct MPC as the most applied method for MLI topologies. In addition, some of the important concepts are experimentally validated through a case study and compared under the same operating conditions to evaluate the performance and highlight their features. Finally, the future trends of MPC for MLI applications are discussed based on the current state and reported developments.
DOI	10.1109/TPEL.2023.3288499
Cilt	38

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Model-predictive control of multilevel inverters: challenges, recent advances, and trends

Yazar Harbi, I., Rodriguez, J., Liegmann, E., Makhamreh, Hamza, Heldwein, M. L., Novak, M., Rossi, M., Abdelrahem, M., Trabelsi, M., Ahmed, M., Karamanakos, P., Xu, S.

Basım Tarihi 2023-09

Basım Yeri - IEEE

Konu Capacitor balance, Current control, Dc-link balance, Model-predictive control (MPC), Multilevel inverter (MLI)

Tür Süreli Yayın

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 0885-8993

Kayıt Numarası 97c65cce-3696-4e2a-aff8-f5f94a0985f2

Lokasyon Electrical & Electronics Engineering

Tarih 2023-09

Notlar Agencia Nacional de Investigación y Desarrollo

Örnek Metin Model-predictive control (MPC) has emerged as a promising control method in power electronics, particularly for multiobjective control problems such as multilevel inverter (MLI) applications. Over the past two decades, improving the performance of MPC and tackling its technical challenges, such as computational load, modeling accuracy, cost function design, and weighting factor selection, have attracted great interest in power electronics. This article aims to discuss the current state of MPC strategies for MLI applications, describing the significance of each challenge with the reported effective solutions. Through this review, the MPC methods are categorized into two groups: direct MPC (without modulator) and indirect MPC (with modulator). The recent advances of each category are presented and analyzed, focusing on direct MPC as the most applied method for MLI topologies. In addition, some of the important concepts are experimentally validated through a case study and compared under the same operating conditions to evaluate the performance and highlight their features. Finally, the future trends of MPC for MLI applications are discussed based on the current state and reported developments.

DOI 10.1109/TPEL.2023.3288499

Cilt 38