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Indirect model predictive current control techniques for a direct matrix converter

Rivera, Marco; Nasir, Usman; Tarisciotti, Luca; Wheeler, Patrick

Authors

Marco Rivera

Usman Nasir

Luca Tarisciotti



Abstract

The direct matrix converter has twenty-seven available switching states which implies that the implementation of predictive control techniques in this converter requires high computational cost while an adequate selection of weighting factors in order to control both input and output sides of the converter. In this paper, two indirect model predictive current control strategies are proposed in order to simplify the computational cost while avoiding the use of weighting factors. Both methods are based on the fictitious dc-link concept, which has been used in the past for the classical modulation and control techniques of the direct matrix converter. Simulated results confirm the feasibility of the proposed techniques demonstrating that they are an alternative to classical predictive control strategies for the direct matrix converter.

Citation

Rivera, M., Nasir, U., Tarisciotti, L., & Wheeler, P. (2017). Indirect model predictive current control techniques for a direct matrix converter.

Conference Name IEEE-URUCON 2017
End Date Oct 25, 2017
Acceptance Date Sep 6, 2017
Online Publication Date Dec 11, 2017
Publication Date Oct 24, 2017
Deposit Date Apr 24, 2018
Publicly Available Date Apr 24, 2018
Peer Reviewed Peer Reviewed
Keywords Current control; Matrix converters; Predictive
control; Finite control set model predictive control; Fictitious dclink
Public URL https://nottingham-repository.worktribe.com/output/889557
Publisher URL https://ieeexplore.ieee.org/document/8171896/
Related Public URLs http://sites.ieee.org/urucon/
Additional Information © 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.

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