Model-Predictive Control of Multilevel Inverters: Challenges, Recent Advances, and Trends

Author:

Harbi Ibrahim1ORCID,Rodriguez Jose2ORCID,Liegmann Eyke1ORCID,Makhamreh Hamza3ORCID,Heldwein Marcelo Lobo1ORCID,Novak Mateja4ORCID,Rossi Mattia5ORCID,Abdelrahem Mohamed1ORCID,Trabelsi Mohamed6ORCID,Ahmed Mostafa1ORCID,Karamanakos Petros5ORCID,Xu Shuai7ORCID,Dragičević Tomislav8ORCID,Kennel Ralph1ORCID

Affiliation:

1. Chair of High-Power Converter Systems, Technical University of Munich, Munich, Germany

2. Faculty of Engineering, Universidad San Sebastian, Santiago, Chile

3. Department of Electrical and Electronics Engineering, Özyeğin University, Istanbul, Turkey

4. AAU Energy, Aalborg University, Aalborg, Denmark

5. Faculty of Information Technology and Communication Sciences, Tampere University, Tampere, Finland

6. Department of Electronics and Communications Engineering, Kuwait College of Science and Technology, Kuwait City, Kuwait

7. State Key Laboratory of Rail Transit Vehicle System, Southwest Jiaotong University, Chengdu, China

8. Department of Electrical Engineering, Technical University of Denmark, Lyngby, Denmark

Funder

Agencia Nacional de Investigación y Desarrollo

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Reference196 articles.

1. FCS‐MPC for a single‐phase two‐stage grid‐connected PV inverter

2. Weighting factorless reduced-complexity FS-MPC for modified packed U-cell inverter topology;harbi;Proc IEEE Int Exhib Conf Power Electron Intell Motion Renewable Energy Energy Manage,0

3. Guidelines for the Design of Finite Control Set Model Predictive Controllers

4. Finite control set model predictive control for static synchronous compensator based on hybrid cascaded H-bridge and neutral point clamped multilevel inverter;monfared;International Transactions on Electrical Energy Systems,2021

5. Model Predictive Current Control of a Seven-Level Inverter With Reduced Computational Burden

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