Resumen de Hybrid Intelligent Model for Switching Modes Classification in a Half-Bridge Buck Converter
Luis Alfonso Fernández Serantes, José-Luis Casteleiro-Roca, Dragan Simić, José Luis Calvo Rolle
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.
