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

Vazquez, Sergio; Le�n, Jos�; Franquelo, Leopoldo; Rodriguez, Jose; Young, Hector A.; Marquez, Abraham; Zanchetta, Pericle

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: https://nottingham-repository.worktribe.com/output/724625
• Publisher URL: http://ieeexplore.ieee.org/document/6775336/
• 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