Open AccessReview of model predictive control strategies for matrix converters
Author(s) -
Khosravi Mahyar,
Amirbande Masoume,
Khaburi Davood A.,
Rivera Marco,
Riveros Jose,
Rodriguez Jose,
Vahedi Abolfazl,
Wheeler Patrick
Publication year - 2019
Publication title -
iet power electronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.637
H-Index - 77
eISSN - 1755-4543
pISSN - 1755-4535
DOI - 10.1049/iet-pel.2019.0212
Subject(s) - converters , network topology , model predictive control , computer science , matrix (chemical analysis) , scheme (mathematics) , control (management) , control theory (sociology) , power (physics) , electronic engineering , topology (electrical circuits) , control engineering , engineering , mathematics , artificial intelligence , electrical engineering , voltage , mathematical analysis , materials science , physics , quantum mechanics , composite material , operating system
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.