Indirect model predictive current control techniaues for a direct matrix converter

M. Rivera, U. Nasir, L. Tarisciotti, P. Wheeler

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

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.

Original languageEnglish
Title of host publication2017 IEEE URUCON, URUCON 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-4
Number of pages4
ISBN (Electronic)9781538633977
DOIs
Publication statusPublished - 8 Dec 2017
Event2017 IEEE URUCON, URUCON 2017 - Montevideo, Uruguay
Duration: 23 Oct 201725 Oct 2017

Publication series

Name2017 IEEE URUCON, URUCON 2017
Volume2017-December

Conference

Conference2017 IEEE URUCON, URUCON 2017
Country/TerritoryUruguay
CityMontevideo
Period23/10/1725/10/17

Keywords

  • current control
  • fictitious dc-link
  • finite control set model predictive control
  • matrix converters
  • predictive control

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering

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