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A review of predictive control techniques for matrix converter applications

Rivera, Marco; Wheeler, Patrick; Rodriguez, Jose; Wu, B.

Authors

Marco Rivera

B. Wu



Abstract

Predictive control has recently emerged as a promising alternative to more traditional methods for the control and modulation of power converters. This paper presents an overview of predictive control techniques applied to matrix converters. The paper highlights that predictive control strategy is a promising alternative to conventional modulator based linear control for matrix converters due to its simplicity and flexibility to include additional constraints within the control to have it suitable for different applications. In addition to describing many advantages of predictive control techniques, its limitations and weaknesses are also discussed along with some future trends and applications. Most important control aspects of predictive control are demonstrated through simulation analysis.

Citation

Rivera, M., Wheeler, P., Rodriguez, J., & Wu, B. (2017). A review of predictive control techniques for matrix converter applications

Conference Name IECON 2017 43rd Annual Conference of the IEEE Industrial Electronics Society
End Date Nov 1, 2017
Acceptance Date Jul 15, 2017
Publication Date Oct 31, 2017
Deposit Date Jan 19, 2018
Publicly Available Date Jan 19, 2018
Peer Reviewed Peer Reviewed
Keywords Ac-ac conversion; Matrix converter; Predictive control; Modulation schemes
Public URL http://eprints.nottingham.ac.uk/id/eprint/49177
Publisher URL http://ieeexplore.ieee.org/document/8217289/
Related Public URLs http://iecon2017.csp.escience.cn/dct/page/1
Additional Information (c) 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, 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 component of this work in other works. Paper published in IECON 2017 43rd Annual Conference of the IEEE Industrial Electronics Society ISBN 9781538611272

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