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

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: Aug 13, 2019
• 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.