Preselection algorithm based on predictive control for direct matrix converter

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

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
• Contract Date: Jun 29, 2017