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Hybrid Intelligent Model for Classification of the Boost Converter Switching Operation

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Hybrid Artificial Intelligent Systems (HAIS 2022)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 13469))

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Abstract

The application of a hybrid intelligent model is applied to a boost converter with the aim of detecting the switching operating mode of the converter. Thus, the boost converter has been analyzed and the both operating mode are explained, distinguishing between Hard-switching and Soft-switching modes. Then, the dataset is created out of the data obtained from simulation of the real circuit and, finally, the hybrid intelligent classification model is implemented. The proposed model is able to distinguish between the HS and SS operating modes with high accuracy.

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Acknowledgements

CITIC, as a Research Center of the University System of Galicia, is funded by Consellería de Educación, Universidade e Formación Profesional of the Xunta de Galicia through the European Regional Development Fund (ERDF) and the Secretaría Xeral de Universidades (Ref. ED431G 2019/01).

Author information

Authors and Affiliations

  1. CTC, CITIC, Department of Industrial Engineering, University of A Coruña, Ferrol, A Coruña, Spain

    Luis-Alfonso Fernandez-Serantes, José-Luis Casteleiro-Roca & José Luis Calvo-Rolle

  2. Algoritmi Center, Department of Informatics, University of Minho, Braga, Portugal

    Paulo Novais

  3. Faculty of Technical Sciences, University of Novi Sad, Trg Dositeja Obradovića 6, 21000, Novi Sad, Serbia

    Dragan Simić

Authors
  1. Luis-Alfonso Fernandez-Serantes
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  2. José-Luis Casteleiro-Roca
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  3. Paulo Novais
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  4. Dragan Simić
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  5. José Luis Calvo-Rolle
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Corresponding author

Correspondence to Luis-Alfonso Fernandez-Serantes .

Editor information

Editors and Affiliations

  1. University of Deusto, Bilbao, Spain

    Pablo García Bringas

  2. University of León, León, Spain

    Hilde Pérez García

  3. University of La Rioja, Logroño, La Rioja, Spain

    Francisco Javier Martínez de Pisón

  4. University of Oviedo, Oviedo, Spain

    José Ramón Villar Flecha

  5. Data Science and Big Data Analytics Lab, Pablo de Olavide University, Sevilla, Spain

    Alicia Troncoso Lora

  6. Department of Computer Science, University of Oviedo, Oviedo, Spain

    Enrique A. de la Cal

  7. Applied Computational Intelligence, University of Burgos, Burgos, Burgos, Spain

    Álvaro Herrero

  8. Universidad Pablo de Olavide, Seville, Spain

    Francisco Martínez Álvarez

  9. DIGIP, University of Bergamo, Dalmine, Bergamo, Italy

    Giuseppe Psaila

  10. Department of Industrial Engineering, University of A Coruña, Ferrol, Spain

    Héctor Quintián

  11. University of Salamanca, Salamanca, Spain

    Emilio Corchado

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Fernandez-Serantes, LA., Casteleiro-Roca, JL., Novais, P., Simić, D., Calvo-Rolle, J.L. (2022). Hybrid Intelligent Model for Classification of the Boost Converter Switching Operation. In: García Bringas, P., et al. Hybrid Artificial Intelligent Systems. HAIS 2022. Lecture Notes in Computer Science(), vol 13469. Springer, Cham. https://doi.org/10.1007/978-3-031-15471-3_41

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  • DOI: https://doi.org/10.1007/978-3-031-15471-3_41

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-15470-6

  • Online ISBN: 978-3-031-15471-3

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