Behavior of the predictive DTC based matrix converter under unbalanced AC supply

Marco E. Rivera, René E. Vargas, José R. Espinoza, José R. Rodríguez

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

31 Citations (Scopus)

Abstract

A novel time discrete control strategy applied to a Matrix Converter that drives an AC machine is presented. The strategy features the advantages of the Direct Torque Control and the Predictive Control, verifying its robustness through out the analysis of its behavior under an unbalanced AC supply. The high performance of the predictive control is based on the deterministic model of the converter-machine system. Such model is used to predict at any given sampling time the future values of the electrical variables as a function of the switch status. A functional is then optimized and the optimum switch status is thus selected. The optimum selection ensures unitary input power factor and zero steady state error in the flux and torque of the AC machine. The speed is adjusted by a closed loop scheme and the unbalance is naturally mitigated. Several simulations showing the transient and steady state behavior of the proposed scheme are presented.

Original languageEnglish
Title of host publicationConference Record of the 2007 IEEE Industry Applications Conference 42nd Annual Meeting, IAS
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages202-207
Number of pages6
ISBN (Print)1424403642, 9781424403646
DOIs
Publication statusPublished - 2007
Event2007 IEEE Industry Applications Conference 42nd Annual Meeting, IAS - New Orleans, LA, United States
Duration: 23 Sep 200727 Sep 2007

Publication series

NameConference Record - IAS Annual Meeting (IEEE Industry Applications Society)
ISSN (Print)0197-2618

Other

Other2007 IEEE Industry Applications Conference 42nd Annual Meeting, IAS
Country/TerritoryUnited States
CityNew Orleans, LA
Period23/09/0727/09/07

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

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