Hybrid Intelligent Model for Switching Modes Classification in a Half-Bridge Buck Converter

  1. Luis-Alfonso Fernandez-Serantes 1
  2. José-Luis Casteleiro-Roca 1
  3. Dragan Simić 2
  4. José Luis Calvo-Rolle 1
  1. 1 Universidade da Coruña
    info

    Universidade da Coruña

    La Coruña, España

    ROR https://ror.org/01qckj285

  2. 2 University of Novi Sad
    info

    University of Novi Sad

    Novi Sad, Serbia

    ROR https://ror.org/00xa57a59

Libro:
Hybrid Artificial Intelligent Systems: 16th International Conference, HAIS 2021. Bilbao, Spain. September 22–24, 2021. Proceedings
  1. Hugo Sanjurjo González (coord.)
  2. Iker Pastor López (coord.)
  3. Pablo García Bringas (coord.)
  4. Héctor Quintián (coord.)
  5. Emilio Corchado (coord.)

Editorial: Springer International Publishing AG

ISBN: 978-3-030-86271-8,  978-3-030-86270-1

Año de publicación: 2021

Páginas: 367-378

Congreso: Hybrid Artificial Intelligent Systems (HAIS) (16. 2021. Bilbao)

Tipo: Aportación congreso

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Resumen

In this research, a study about the implementation of a hybrid intelligent model for classification applied to power electronics is presented. First of all, an analysis of the chosen power converter, half-bridge buck converter, has been done, differentiating between two operating modes: Hard-Switching and Soft-Switching. A hybrid model combining a clustering method with classification intelligent techniques is implemented. The obtained model differentiate with high accuracy between the two modes, obtaining very good results in the classification.

Fuente de los datos: Dialnet