Estrategia de re-entrenamiento de redes neuronales para mejorar el control de la excitación de una máquina síncrona
Abstract
Las redes neuronales artificiales (RNA), ofrecen una alternativa para la implementación de controladores convencionales, debido a su capacidad de identificar y controlar sistemas no lineales, con una alta velocidad computacional. Esta técnica fue utilizada en la implementación de un controlador suplementario de la excitación (estabilizador de potencia), para mantener un buen comportamiento en la tensión en terminales de una máquina síncrona, cuando ésta es sometida a ciertas perturbaciones. En este artículo se presentan los resultados obtenidos y se comprueba la efectividad del método aplicado, realizando la comparación con un estabilizador de potencia adaptivo y el controlador neuronal.Downloads
Downloads
-
Vistas(Views): 254
- PDF (Español (España)) Descargas(Downloads): 416
Published
How to Cite
Issue
Section
License
Copyright (c) 2017 Scientia et technica
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Copyrights
The journal is free open access. The papers are published under the Creative Commons Attribution / Attribution-NonCommercial-NoDerivatives 4.0 International - CC BY-NC-ND 4.0 license. For this reason, the author or authors of a manuscript accepted for publication will yield all the economic rights to the Universidad Tecnológica of Pereira free of charge, taking into account the following:
In the event that the submitted manuscript is accepted for publication, the authors must grant permission to the journal, in unlimited time, to reproduce, to edit, distribute, exhibit and publish anywhere, either by means printed, electronic, databases, repositories, optical discs, Internet or any other required medium. In all cases, the journal preserves the obligation to respect, the moral rights of the authors, contained in article 30 of Law 23 of 1982 of the Government Colombian.
The transferors using ASSIGNMENT OF PATRIMONIAL RIGHTS letter declare that all the material that is part of the article is entirely free of copyright. Therefore, the authors are responsible for any litigation or related claim to intellectual property rights. They exonerate of all responsibility to the Universidad Tecnológica of Pereira (publishing entity) and the Scientia et Technica journal. Likewise, the authors accept that the work presented will be distributed in free open access, safeguarding copyright under the Creative Commons Attribution / Recognition-NonCommercial-NoDerivatives 4.0 International - https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es license.