Voltage Control Based on a Back-Propagation Artificial Neural Network Algorithm

Jazmin Ramirez-Hernandez, Oswaldo Ulises Juarez-Sandoval, Leobardo Hernandez-Gonzalez, Abigail Hernandez-Ramirez, Raul Sebastian Olivares-Dominguez

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

7 Scopus citations

Abstract

In this paper a voltage controller based on an Artificial Neural Network (ANN) is presented. Its online learning back-propagation algorithm allows the output voltage regulation according to a desired reference output voltage. To verify that the proposed controller operates according to the design, a numerical verification in Matlab software is presented for three basic DC-DC converters: buck, boost and buck-boost topologies.

Original languageEnglish
Title of host publication2020 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728199535
DOIs
StatePublished - 4 Nov 2020
Event2020 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2020 - Ixtapa, Mexico
Duration: 4 Nov 20206 Nov 2020

Publication series

Name2020 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2020

Conference

Conference2020 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2020
Country/TerritoryMexico
CityIxtapa
Period4/11/206/11/20

Keywords

  • Artificial Neural Network
  • Boost
  • Buck
  • Buck-Boost
  • PWM
  • voltage control

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