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CONICET Digital
Article . 2012
License: CC BY NC SA
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Control Predictivo Aplicado a Modelos Simples de Aviones

Authors: Murillo, Marina Hebe; Limache, Alejandro Cesar; Giovanini, Leonardo Luis;

Control Predictivo Aplicado a Modelos Simples de Aviones

Abstract

Este trabajo presenta los primeros pasos en el desarrollo de sistemas de control para aviones. Como primera aplicación nuestro sistema a controlar es un modelo longitudinal de un avión. El mismo presenta tres grados de libertad: movimiento de traslación, movimiento de pitch y movimiento en el plano vertical. En primera instancia trabajamos con el modelo linealizado del mismo pudiendo luego comparar los resultados obtenidos al utilizar el sistema no lineal. La técnica de control elegida es Model Predictive Control (MPC). Esta técnica nos permite realizar maniobras con nuestro avión al aplicarle al mismo el control óptimo resultante de la minimización de una función costo sujeta a restricciones provenientes de la mecánica y de la física propias del sistema. Este trabajo nos servirá como base para el desarrollo de sistemas de control para modelos de aviones más sofisticados.

Fil: Limache, Alejandro Cesar. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina

Fil: Giovanini, Leonardo Luis. Universidad Nacional del Litoral; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina

Fil: Murillo, Marina Hebe. Universidad Nacional del Litoral; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina

Country
Argentina
Keywords

optimización, https://purl.org/becyt/ford/2.2, https://purl.org/becyt/ford/2, control predictivo, control óptimo, aviones

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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