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Preselection algorithm based on predictive control for direct matrix converter

Dan, Hanbing; Zhu, Qi; Peng, Tao; Yao, Sun; Wheeler, Patrick

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Authors

Hanbing Dan

Qi Zhu

Tao Peng

Sun Yao

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PATRICK WHEELER pat.wheeler@nottingham.ac.uk
Professor of Power Electronic Systems



Abstract

This paper presents an enhanced predictive control strategy to reduce the calculation effort for direct matrix converters. The main idea is to preselect the switching states to decrease the calculation effort during each sample period. The proposed preselection algorithm enables a predefined cost function to consider only the preselected switching states to perform the expected control. On the basis of the preselection of switching states at each sample period, the proposed method can effectively reduce the calculation effort as well as show a good performance. The proposed predictive control scheme using only preselected switching states needed to generate the desired source/load current waveforms and control the input power factor. The feasibility of the proposed method is experimentally verified and results are presented in the paper.

Citation

Dan, H., Zhu, Q., Peng, T., Yao, S., & Wheeler, P. (2017). Preselection algorithm based on predictive control for direct matrix converter. IET Electric Power Applications, 11(5), 768-775. https://doi.org/10.1049/iet-epa.2016.0473

Journal Article Type Article
Acceptance Date Oct 31, 2016
Publication Date May 23, 2017
Deposit Date Jun 29, 2017
Publicly Available Date Jun 29, 2017
Journal IET Electric Power Applications
Print ISSN 1751-8660
Electronic ISSN 1751-8679
Publisher Institution of Engineering and Technology (IET)
Peer Reviewed Peer Reviewed
Volume 11
Issue 5
Pages 768-775
DOI https://doi.org/10.1049/iet-epa.2016.0473
Keywords Direct matrix converter, Preselection algorithm, Predictive control
Public URL https://nottingham-repository.worktribe.com/output/861783
Publisher URL https://doi.org/10.1049/iet-epa.2016.0473
Additional Information This paper is a postprint of a paper submitted to and accepted for publication in IET Electric Power Applications and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at the IET Digital Library

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