A simple predictive current control of a single-phase matrix converter

M. Rivera, J. Munoz, C. Baier, J. Rodriguez, J. Espinoza, V. Yaramasu, B. Wu, P. Wheeler

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Scopus citations

Abstract

While the known modulation and control techniques for single-phase matrix converters are based on pulse width modulation or space vector modulation, this paper presents a finite control set model predictive control strategy with a prediction horizon of one sampling time to control the singlephase matrix converter. The presented converter is meant to be used in cascaded configurations for high power applications, as it has a three-phase input and a single-phase output. The proposed current control strategy is based on a prediction calculation to select the switching states of the converter. By using a predictive cost function, the optimal switching state to be applied to the next sampling time is selected. This is done in order to obtain a good tracking of the load currents to their respective references. The feasibility of the proposed strategy is verified by simulation results, which show good dynamic and stationary performance.

Original languageEnglish (US)
Title of host publicationProceedings of 2013 4th International Conference on Power Engineering, Energy and Electrical Drives, POWERENG 2013
Pages235-239
Number of pages5
DOIs
StatePublished - 2013
Externally publishedYes
Event2013 4th International Conference on Power Engineering, Energy and Electrical Drives, POWERENG 2013 - Istanbul, Turkey
Duration: May 13 2013May 17 2013

Publication series

NameInternational Conference on Power Engineering, Energy and Electrical Drives
ISSN (Print)2155-5516
ISSN (Electronic)2155-5532

Conference

Conference2013 4th International Conference on Power Engineering, Energy and Electrical Drives, POWERENG 2013
Country/TerritoryTurkey
CityIstanbul
Period5/13/135/17/13

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Nuclear Energy and Engineering
  • Renewable Energy, Sustainability and the Environment

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