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Utilización del filtro de Kalman extendido para predecir el estado de salud del convertidor

Authors: Fernández Costales, Miguel; Fernández Álvarez, José Antonio; Arias Pérez de Azpeitia, Manuel; Fernández Miaja, Pablo; Oliver, Jesús; Zumel, Pablo;

Utilización del filtro de Kalman extendido para predecir el estado de salud del convertidor

Abstract

En determinados sistemas de potencia se requieren niveles elevados de fiabilidad en sus componentes para no comprometer el resto del sistema. Con esto en mente, se presenta un método no invasivo de monitorización de salud que estima la resistencia parásita del convertidor. El método propuesto se basa en el uso de un filtro de Kalman extendido. Utilizando solo mediciones de control del convertidor, como la corriente de la bobina, tensiones de entrada y salida y la salida del lazo de control, el ciclo de trabajo, se demuestra que es posible detectar un aumento en la resistencia parásita en el convertidor y, por lo tanto, en la 𝑹𝒐𝒏 de los MOSFET de conmutación. La implementación ha sido validada a través de simulación y experimentalmente.

Este trabajo ha recibido financiación de la Consejería de Ciencia, Innovación y Universidad del Principado de Asturias a través de la beca Severo Ochoa para investigadores predoctorales BP21-207 y del Gobierno de España a través de PID2021-127707OB-C21.

SAAEI 2024: Seminario Anual de Automática, Electrónica Industrial e Instrumentación (31º. 2024. Granada)

Country
Spain
Related Organizations
Keywords

DCDC, Filtro de Kalman extendido

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green