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Model Predictive Control: A Review of Its Applications in Power Electronics

Vazquez, Sergio; León, José; Franquelo, Leopoldo; Rodriguez, Jose; Young, Hector A.; Marquez, Abraham; Zanchetta, Pericle

Authors

Sergio Vazquez

José León

Leopoldo Franquelo

Hector A. Young

Abraham Marquez



Abstract

Model-based predictive control (MPC) for power converters and drives is a control technique that has gained attention in the research community. The main reason for this is that although MPC presents high computational burden, it can easily handle multivariable case and system constraints and nonlinearities in a very intuitive way. Taking advantage of that, MPC has been successfully used for different applications such as an active front end (AFE), power converters connected to resistor inductor RL loads, uninterruptible power supplies, and high-performance drives for induction machines, among others. This article provides a review of the application of MPC in the power electronics area.

Citation

Vazquez, S., León, J., Franquelo, L., Rodriguez, J., Young, H. A., Marquez, A., & Zanchetta, P. (2014). Model Predictive Control: A Review of Its Applications in Power Electronics. IEEE Industrial Electronics Magazine, 8(1), 16-31. https://doi.org/10.1109/mie.2013.2290138

Journal Article Type Article
Acceptance Date Dec 31, 2013
Online Publication Date Mar 19, 2014
Publication Date 2014-03
Deposit Date Jun 30, 2017
Publicly Available Date Jun 30, 2017
Journal IEEE Industrial Electronics Magazine
Print ISSN 1932-4529
Electronic ISSN 1932-4529
Publisher Institute of Electrical and Electronics Engineers
Peer Reviewed Peer Reviewed
Volume 8
Issue 1
Pages 16-31
DOI https://doi.org/10.1109/mie.2013.2290138
Keywords Predictive control, Converters, Power conversion, Motor drives, Induction machines, Power efficiency, Control systems
Public URL http://eprints.nottingham.ac.uk/id/eprint/43840
Publisher URL http://ieeexplore.ieee.org/document/6775336/
Copyright Statement Copyright information regarding this work can be found at the following address: http://eprints.nottingh.../end_user_agreement.pdf
Additional Information c2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works

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Copyright Statement
Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf





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