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A review of model predictive control strategies for matrix converters

Khosravi, Mahyar; Amirbande, Masoume; Arab Khaburi, Davood; Rivera, Marco; Riveros, Jose; Rodriguez, Jose; Vahedi, Abolfazl; Wheeler, Patrick

Authors

Mahyar Khosravi

Masoume Amirbande

Davood Arab Khaburi

Marco Rivera

Jose Riveros

Abolfazl Vahedi

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PATRICK WHEELER pat.wheeler@nottingham.ac.uk
Professor of Power Electronic Systems



Abstract

Matrix converters are a well-known class of direct AC-AC power converter topologies that can be used in applications in which compact volume and low weight are necessary. For good performance, special attention should be paid to the control scheme used for these converters. Model predictive control strategy is a promising, straightforward and flexible choice for controlling various different matrix converter topologies. This work provides a comprehensive study and detailed classification of several predictive control methods and techniques, discussing special capabilities they each add to the operation and control scheme for a range of matrix converter topologies. The paper also considers the issues regarding the implementation of model predictive control strategies for matrix converters. This survey and comparison is intended to be a useful guide for solving the related drawbacks of each topology and to enable the application of this control scheme to matrix converters in practical applications.

Citation

Khosravi, M., Amirbande, M., Arab Khaburi, D., Rivera, M., Riveros, J., Rodriguez, J., …Wheeler, P. (2019). A review of model predictive control strategies for matrix converters. IET Power Electronics, 12(12), 3021-3032. https://doi.org/10.1049/iet-pel.2019.0212

Journal Article Type Article
Acceptance Date Jun 28, 2019
Online Publication Date Jul 17, 2019
Publication Date Jul 17, 2019
Deposit Date Aug 13, 2019
Publicly Available Date Mar 28, 2024
Journal IET Power Electronics
Electronic ISSN 1755-4543
Publisher Institution of Engineering and Technology
Peer Reviewed Peer Reviewed
Volume 12
Issue 12
Pages 3021-3032
DOI https://doi.org/10.1049/iet-pel.2019.0212
Keywords Electrical and Electronic Engineering
Public URL https://nottingham-repository.worktribe.com/output/2424006
Publisher URL https://digital-library.theiet.org/content/journals/10.1049/iet-pel.2019.0212
Additional Information This paper is a postprint of a paper submitted to and accepted for publication in IET Power Electronics and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at the IET Digital Library.

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