Application of fuzzy decision making to the switching state selection in the predictive control of a Direct Matrix Converter

Felipe Villarroel, José Espinoza, Christian Rojas, Claudio Molina, José Rodríguez

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

9 Citations (Scopus)

Abstract

The finite states model predictive control is a promising alternative in the field of the control of power converters. Its characteristics allow simple and flexible control schemes with fast dynamics. However, the standard formulation of this type of controllers, which is based on an aggregated cost function, requires suitable weighting factors for an adequate switching state selection. The specification of these factors depend on various parameters making it a non trivial process. In this work, an alternative is proposed that replaces the standard aggregated cost function with a fuzzy decision making strategy. This strategy retains the multiple attribute nature of the state selection. As a result, the possibility of a more natural and higher level design approach to the state selection process is opened. To introduce the technique, only objectives with equal importance are considered. Simulation results are presented to illustrate and validate the approach using the control of output and input currents in the Direct Matrix Converter.

Original languageEnglish
Title of host publicationProceedings
Subtitle of host publicationIECON 2011 - 37th Annual Conference of the IEEE Industrial Electronics Society
Pages4272-4277
Number of pages6
DOIs
Publication statusPublished - 2011
Event37th Annual Conference of the IEEE Industrial Electronics Society, IECON 2011 - Melbourne, VIC, Australia
Duration: 7 Nov 201110 Nov 2011

Publication series

NameIECON Proceedings (Industrial Electronics Conference)

Other

Other37th Annual Conference of the IEEE Industrial Electronics Society, IECON 2011
Country/TerritoryAustralia
CityMelbourne, VIC
Period7/11/1110/11/11

Keywords

  • AC-AC power conversion
  • control systems
  • current control
  • digital control
  • fuzzy logic
  • predictive control

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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