Publicación:
Adaptive Self-Tuning Flight Control System for ATLANTE UAS.

Fecha
2016-09
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info:eu-repo/semantics/openAccess
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American Society of Civil Engineers (ASCE)
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Resumen
This paper presents an adaptive self-tuning flight control system (AST-FCS) for a fixed-wing aircraft, applied to a high-fidelity dynamic model of the ATLANTE unmanned aircraft system (UAS). This new adaptive control system is based on adaptive predictive (AP) control methodology and a new guidance system. AP control has been implemented in many complex industrial applications with excellent results, but it has not been applied in the aerospace sector yet. Experimental results obtained in simulation by flying a high-fidelity model of the ATLANTE UAS illustrate excellent control system performance and show the robustness of the AST-FCS, which has been designed without using accurate knowledge of the aircraft dynamics embedded within the model. It is expected that the application of AP control in this field could introduce significant advantages in aircraft control, improving performance in a wide variety of flight conditions and reducing design costs.
Descripción
The registered version of this article, first published in “Journal of Aerospace Engineering. 29(5). 10.1061/", is available online at the publisher's website: ASCE, https://doi.org/10.1061/(ASCE)AS.1943-5525.0000564
La versión registrada de este artículo, publicado por primera vez en “Journal of Aerospace Engineering. 29(5). 10.1061/", está disponible en línea en el sitio web del editor: ASCE, https://doi.org/10.1061/(ASCE)AS.1943-5525.0000564
Categorías UNESCO
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Citación
iúdez-Moreiras, D. and Martín-Sánchez J.M. (2016) Adaptive Self-Tuning Flight Control System for ATLANTE UAS. Journal of Aerospace Engineering. 29(5). 10.1061/(ASCE)AS.1943-5525.0000564, 04016032. https://doi.org/10.1061/(ASCE)AS.1943-5525.0000564
Centro
Facultades y escuelas::E.T.S. de Ingenieros Industriales
Departamento
Ingeniería Eléctrica, Electrónica, Control, Telemática y Química Aplicada a la Ingeniería
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Grupo de innovación
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Cátedra