A review of predictive control techniques for matrix converter applications

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Rivera, Marco, Wheeler, Patrick, Rodriguez, Jose and Wu, B. (2017) A review of predictive control techniques for matrix converter applications. In: IECON 2017 43rd Annual Conference of the IEEE Industrial Electronics Society, 29 Oct - 1 Nov 2017, Beijing, China.

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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.

Item Type: Conference or Workshop Item (Paper)
RIS ID: https://nottingham-repository.worktribe.com/output/890674
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
Keywords: Ac-ac conversion; Matrix converter; Predictive control; Modulation schemes
Schools/Departments: University of Nottingham, UK > Faculty of Engineering > Department of Electrical and Electronic Engineering
Related URLs:
URLURL Type
http://iecon2017.csp.escience.cn/dct/page/1UNSPECIFIED
Depositing User: Burns, Rebecca
Date Deposited: 19 Jan 2018 09:07
Last Modified: 04 May 2020 19:14
URI: https://eprints.nottingham.ac.uk/id/eprint/49177

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