Abstract

This paper presents the application of predictive control technique using artificial neural networks for a three-phase power converter space vector PWM with current regulator. Predictive control is an algorithm to minimize the performance index of prediction model of the power converter to generate control action. The model of three-phase power converter which is used to predict the future values, is based on artificial neural network. The simulation results of the proposed method are shown by using Matlab Simulink..

Original languageEnglish
Title of host publicationProceedings of the 4th IASTED Asian Conference on Power and Energy Systems, AsiaPES 2008
Pages216-221
Number of pages6
Publication statusPublished - 2008
Event4th IASTED Asian Conference on Power and Energy Systems, AsiaPES 2008 - Langkawi, Malaysia
Duration: 2 Apr 20084 Apr 2008

Publication series

NameProceedings of the 4th IASTED Asian Conference on Power and Energy Systems, AsiaPES 2008

Conference

Conference4th IASTED Asian Conference on Power and Energy Systems, AsiaPES 2008
Country/TerritoryMalaysia
CityLangkawi
Period2/04/084/04/08

Keywords

  • Current regulator
  • Neural networks
  • Power converter
  • Predictive control

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