Indirect model predictive current control techniques for a direct matrix converter

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Rivera, Marco, Nasir, Usman, Tarisciotti, Luca and Wheeler, Patrick (2017) Indirect model predictive current control techniques for a direct matrix converter. In: IEEE-URUCON 2017, 23-25 Oct 2017, Montevideo, Chile.

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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.

Item Type: Conference or Workshop Item (Paper)
RIS ID: https://nottingham-repository.worktribe.com/output/889557
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.
Keywords: Current control; Matrix converters; Predictive control; Finite control set model predictive control; Fictitious dclink
Schools/Departments: University of Nottingham, UK > Faculty of Engineering > Department of Electrical and Electronic Engineering
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http://sites.ieee.org/urucon/
UNSPECIFIED
Depositing User: Burns, Rebecca
Date Deposited: 24 Apr 2018 07:33
Last Modified: 04 May 2020 19:14
URI: https://eprints.nottingham.ac.uk/id/eprint/51328

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