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Intelligent system for switching modes detection and classification of a half-bridge buck converter

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Detalhes bibliográficos
Resumo:The present research shows the implementation of a classification algorithm applied to power electronics with the aim of detection different operation modes. The analysis of a half-bridge buck converter is done, showing two different working state: hard-switching and soft-switching. A model based on classification methods through intelligence techniques is implemented. This intelligent model is able to differentiate between the two operation modes. Very good results were obtained and high accuracy is achieved with the proposed model.
Autores principais:Fernandez-Serantes, Luis-Alfonso
Outros Autores:Casteleiro-Roca, Jose-Luis; Novais, Paulo; Luis Calvo-Rolle, Jose
Assunto:Hard-switching Soft-switching Half-bridge buck Power electronics Classification
Ano:2022
País:Portugal
Tipo de documento:comunicação em conferência
Tipo de acesso:acesso restrito
Instituição associada:Universidade do Minho
Idioma:inglês
Origem:RepositóriUM - Universidade do Minho
Descrição
Resumo:The present research shows the implementation of a classification algorithm applied to power electronics with the aim of detection different operation modes. The analysis of a half-bridge buck converter is done, showing two different working state: hard-switching and soft-switching. A model based on classification methods through intelligence techniques is implemented. This intelligent model is able to differentiate between the two operation modes. Very good results were obtained and high accuracy is achieved with the proposed model.