Hybrid intelligent system for detection of Soft-Switching mode and control of a boost converter

[EN] In this work, an intelligent control based on artificial intelligence is presented. This novel control strategy aims to ensure thata half-bridge boost converter operates in soft-switching mode. As first step, an analysis of the power circuit is done, presentingthe two possible operating modes: Hard- and Soft-Switching. Then, a hybrid intelligent model is implemented with the aim ofclassifying the converter operating mode. A clustering method and three different classification algorithms are implemented and thecomparison between their results is done. Moreover, the intelligent model is implemented in the control loop of the converter withthe aim of ensuring that the converter operates in Soft-switching mode.[ES] En este trabajo de investigación se presenta una estrategia de control inteligente implementada en un convertidor elevador con topología de medio puente. El sistema se usa para asegurar que el convertidor funcione en modo "Soft-Switching". El primer paso es realizar el análisis del convertidor de potencia, mostrando los dos posibles modos de funcionamiento: "Hard-Switching" y "Soft-Switching". Posteriormente se implementa un modelo inteligente con el fin de identificar el modo de funcionamiento del convertidor. Este modelo se basa en un algoritmo de clasificación mediante técnicas inteligentes que es capaz de diferenciar entre los dos modos de funcionamiento. Se han obtenido muy buenos resultados de clasificación y una alta precisión, permitiendo la implementación del modelo en la estrategia de control del convertidor. La implementacion de este sistema permite asegurar  que el convertidor funcione en el modo deseado: modo "Soft-Switching".El CITIC, como Centro de Investigación del Sistema Universitario de Galicia, esta financiado por la Conselleria de Educación, Universidade e Formación Profesional de la Xunta de Galicia a través del Fondo Europeo de Desarrollo Regional (FEDER) y la Secretaria Xeral de Universidades (Ref.ED431G2019 / 01).Fernandez-Serantes, LA.; Casteleiro-Roca, JL.; Calvo-Rolle, JL. (2022). Sistema híbrido inteligente para el control y operación de un convertidor elevador en modo Soft-Switching. Revista Iberoamericana de Automática e Informática industrial. 19(4):356-368. https://doi.org/10.4995/riai.2022.16656OJS35636819

Dimensional reduction applied to an intelligent model for boost converter switching operation

The dimensional reduction algorithms are applied to a hybrid intelligent model that distinguishes the switching operating mode of a boost converter. Thus, the boost converter has been analyzed and 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 the hybrid intelligent classification model is implemented. Finally, the dimensional reduction of the input variables is carried out and the results are compared. As result, the proposed model with the applied dimensional reduced dataset is able to distinguish between the HS and SS operating modes with high accuracy.ERDF -European Regional Development Fund(ED431G 2019/01

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

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.- (undefined

Hybrid intelligent model for classification of the boost converter switching operation

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