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Control neuronal y difuso para sistemas fotovoltaicos

Authors: Carlos Arturo Robles Algarín; Julie Pauline Viloria Porto; Diego Andrés Restrepo Leal;

Control neuronal y difuso para sistemas fotovoltaicos

Abstract

En esta obra se encuentran consignados muchos años de experiencia de los autores en el desarrollo de controladores inteligentes basados en redes neuronales y lógica difusa para el seguimiento del punto de máxima potencia de sistemas fotovoltaicos. Entendiendo la importancia de las técnicas de control inteligente y su aplicación en problemas prácticos, los autores a lo largo del libro presentan los conceptos básicos de los controladores implementados y su proceso de diseño en detalle. Estos controladores fueron evaluados en sistemas fotovoltaicos aislados de la red eléctrica, utilizando MATLAB como herramienta de modelado y simulación. Inicialmente, se presenta el modelado matemático del módulo fotovoltaico utilizado para diversos escenarios de simulación. Luego, se presenta el diseño y modelado de convertidores DC-DC necesarios para transferir la energía generada por el módulo fotovoltaico a una carga. Finalmente, se expone el diseño, diagramas de flujo y modelado de los controladores difusos y neuronales dinámicos con diferentes algoritmos de entrenamiento. Los resultados obtenidos demuestran la relevancia de esta obra, considerando las mejoras obtenidas con los controladores inteligentes en aspectos como el tiempo de establecimiento, seguimiento del punto de máxima potencia, disminución considerable de las oscilaciones y mejoras en la eficiencia y potencia suministrada a la carga.

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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
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