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

• Luis-Alfonso Fernandez-Serantes ^[1] ; José-Luis Casteleiro-Roca ^[1] ; Dragan Simić ^[2] ; José Luis Calvo-Rolle ^[1]
  1. [1] Universidade da Coruña

     Universidade da Coruña

     A Coruña, España

     
  2. [2] University of Novi Sad

     University of Novi Sad

     RS.VO.6.3194359, Serbia

     
• Localización: Hybrid Artificial Intelligent Systems: 16th International Conference, HAIS 2021. Bilbao, Spain. September 22–24, 2021. Proceedings / coord. por Hugo Sanjurjo González, Iker Pastor López, Pablo García Bringas, Héctor Quintián Pardo, Emilio Santiago Corchado Rodríguez, 2021, ISBN 978-3-030-86271-8, págs. 367-378
• Idioma: inglés
• Texto completo no disponible (Saber más ...)
• 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.