LAPSE:2023.25516
Published Article

LAPSE:2023.25516
A Novel Control Approach to Hybrid Multilevel Inverter for High-Power Applications
March 28, 2023
Abstract
This paper proposes a hybrid control scheme for a newly devised hybrid multilevel inverter (HMLI) topology. The circuit configuration of HMLI is comprised of a cascaded converter module (CCM), connected in series with an H-bridge converter. Initially, a finite set model predictive control (FS-MPC) is adopted as a control scheme, and theoretical analysis is carried out in MATLAB/Simulink. Later, in the real-time implementation of the HMLI topology, a hybrid control scheme which is a variant of the FS-MPC method has been proposed. The proposed control method is computationally efficient and therefore has been employed to the HMLI topology to mitigate the high-frequency switching limitation of the conventional MPC. Moreover, a comparative analysis is carried to illustrate the advantages of the proposed work that includes low switching losses, higher efficiency, and improved total harmonic distortion (THD) in output current. The inverter topology and stability of the proposed control method have been validated through simulation results in MATLAB/Simulink environment. Experimental results via low-voltage laboratory prototype have been added and compared to realize the study in practice.
This paper proposes a hybrid control scheme for a newly devised hybrid multilevel inverter (HMLI) topology. The circuit configuration of HMLI is comprised of a cascaded converter module (CCM), connected in series with an H-bridge converter. Initially, a finite set model predictive control (FS-MPC) is adopted as a control scheme, and theoretical analysis is carried out in MATLAB/Simulink. Later, in the real-time implementation of the HMLI topology, a hybrid control scheme which is a variant of the FS-MPC method has been proposed. The proposed control method is computationally efficient and therefore has been employed to the HMLI topology to mitigate the high-frequency switching limitation of the conventional MPC. Moreover, a comparative analysis is carried to illustrate the advantages of the proposed work that includes low switching losses, higher efficiency, and improved total harmonic distortion (THD) in output current. The inverter topology and stability of the proposed control method have been validated through simulation results in MATLAB/Simulink environment. Experimental results via low-voltage laboratory prototype have been added and compared to realize the study in practice.
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Keywords
hybrid multilevel inverter, model predictive control (MPC), multilevel inverter (MLI)
Subject
Suggested Citation
Ali M, Hafeez G, Farooq A, Shafiq Z, Ali F, Usman M, Mihet-Popa L. A Novel Control Approach to Hybrid Multilevel Inverter for High-Power Applications. (2023). LAPSE:2023.25516
Author Affiliations
Ali M: Department of Electrical Engineering, University of Engineering and Technology, Mardan 23200, Pakistan [ORCID]
Hafeez G: Department of Electrical Engineering, University of Engineering and Technology, Mardan 23200, Pakistan; Department of Electrical and Computer Engineering, COMSATS University Islamabad, Islamabad 44000, Pakistan [ORCID]
Farooq A: Department of Electrical Engineering, University of Engineering and Technology, Mardan 23200, Pakistan
Shafiq Z: Center of Intelligent Systems and Networks Research, University of Engineering and Technology, Peshawar 25000, Pakistan
Ali F: Department of Electrical Engineering, University of Engineering and Technology, Peshawar 25000, Pakistan
Usman M: Department of Computer Software Engineering, University of Engineering and Technology, Mardan 23200, Pakistan [ORCID]
Mihet-Popa L: Faculty of Electrical Engineering, Ostfold University College, 1757 Halden, Norway [ORCID]
Hafeez G: Department of Electrical Engineering, University of Engineering and Technology, Mardan 23200, Pakistan; Department of Electrical and Computer Engineering, COMSATS University Islamabad, Islamabad 44000, Pakistan [ORCID]
Farooq A: Department of Electrical Engineering, University of Engineering and Technology, Mardan 23200, Pakistan
Shafiq Z: Center of Intelligent Systems and Networks Research, University of Engineering and Technology, Peshawar 25000, Pakistan
Ali F: Department of Electrical Engineering, University of Engineering and Technology, Peshawar 25000, Pakistan
Usman M: Department of Computer Software Engineering, University of Engineering and Technology, Mardan 23200, Pakistan [ORCID]
Mihet-Popa L: Faculty of Electrical Engineering, Ostfold University College, 1757 Halden, Norway [ORCID]
Journal Name
Energies
Volume
14
Issue
15
First Page
4563
Year
2021
Publication Date
2021-07-28
ISSN
1996-1073
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PII: en14154563, Publication Type: Journal Article
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LAPSE:2023.25516
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https://doi.org/10.3390/en14154563
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Mar 28, 2023
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