Review of model predictive control strategies for matrix converters

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

Research output: Contribution to journalReview articlepeer-review

13 Citations (Scopus)

Abstract

Matrix converters are a well-known class of direct AC-AC power converter topologies that can be used in applications, where compact volume and low weight are necessary. For good performance, special attention should be paid to the control scheme used for these converters. The 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 different matrix converter topologies. This study also considers the issues regarding the implementation of model predictive control strategies for matrix converters. This survey and comparison are intended to be a useful guide for solving the related drawbacks of each topology and to enable the application of this control scheme for matrix converters in practical applications.

Original languageEnglish
Pages (from-to)3021-3032
Number of pages12
JournalIET Power Electronics
Volume12
Issue number12
DOIs
Publication statusPublished - 16 Oct 2019

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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