A new flight guidance approach based on differential flatness

Wen Chi Lu 1, 2 Felix Antonio Claudio Mora-Camino 3 Karim Achaibou 3
1 ENAC - Ecole Nationale de l'Aviation Civile
2 LAAS - Laboratoire d'analyse et d'architecture des systèmes [Toulouse]
3 LAAS-DISCO - Équipe DIagnostic, Supervision et COnduite
LAAS - Laboratoire d'analyse et d'architecture des systèmes [Toulouse]
Abstract : With the sustained increase of air traffic, the demand for new maneuvering capabilities of transport aircrafts is getting more important in order to tackle traffic saturated conditions. In this communication, a new guidance control structure is proposed to perform trajectory tracking through smooth manoeuvers. The design approach is based first on a differential flatness property of aircraft guidance dynamics which is displayed in This work and then on the use of neural networks to invert the guidance dynamics in order to generate directives to the autopilot. To compensate the effect of modeling errors and of other disturbances, an adaptive control approach is adopted to perform the maneuvers.
Keywords : adaptive contro air traffic control aircraft control neural nets nonlinear control systems
Type de document :
Communication dans un congrès
DASC 2004, 23rd Digital Avionics System Conference, Oct 2004, Salt Lake City, United States. IEEE, pp xxxx, 2004, 〈10.1109/DASC.2004.1390737〉
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https://hal-enac.archives-ouvertes.fr/hal-01021727
Contributeur : Laurence Porte <>
Soumis le : jeudi 17 juillet 2014 - 08:55:40
Dernière modification le : mardi 11 septembre 2018 - 15:19:08
Document(s) archivé(s) le : jeudi 20 novembre 2014 - 16:58:42

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Mora-Camino_DASC2004.pdf
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MAIAA | MAIAA-AUTO | LAAS | ENAC | LAAS-DISCO | LAAS-DECISION-ET-OPTIMISATION | UNIV-TLSE3 | TDS-MACS | INSA-TOULOUSE

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Wen Chi Lu, Felix Antonio Claudio Mora-Camino, Karim Achaibou. A new flight guidance approach based on differential flatness. DASC 2004, 23rd Digital Avionics System Conference, Oct 2004, Salt Lake City, United States. IEEE, pp xxxx, 2004, 〈10.1109/DASC.2004.1390737〉. 〈hal-01021727〉

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