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Stability Analysis of a Vision-Based UAV Controller

Authors :
Ramírez, A.
S. Espinoza, E.
R. García Carrillo, L.
Mondié, Sabine
GarcÍa, A.
Lozano, R.
Departamento de Control Automático (CINVESTAV-IPN)
Center for Research and Advanced Studies of the National Polytechnic Institute (CINVESTAV-IPN)
Laboratorio de Investigación en Robótica y Electrónica Avanzada (Laboratorio de Investigación en Robótica y Electrónica Avanzada)
Centro de Investigacion y de Estudios Avanzados del Instituto Politécnico Nacional (CINVESTAV)
College of Science & Engineering (College of Science & Engineering)
University of Texas at Austin [Austin]
Laboratoire Franco-Mexicain d'Informatique et d'Automatique (LAFMIA)
Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centro de Investigacion y de Estudios Avanzados del Instituto Politécnico Nacional (CINVESTAV)-Université Joseph Fourier - Grenoble 1 (UJF)-Université de Technologie de Compiègne (UTC)-Consejo Nacional de Ciencia y Tecnología [Mexico] (CONACYT)-Centre National de la Recherche Scientifique (CNRS)
Heuristique et Diagnostic des Systèmes Complexes [Compiègne] (Heudiasyc)
Université de Technologie de Compiègne (UTC)-Centre National de la Recherche Scientifique (CNRS)
A. Ramírez
E. S. Espinoza
L. R. García Carrillo
S. Mondié
A. García
R. Lozano
Source :
Journal of Intelligent and Robotic Systems, Journal of Intelligent and Robotic Systems, Springer Verlag, 2013, 74 (1-2), pp.69-84. ⟨10.1007/s10846-013-9946-z⟩
Publication Year :
2013
Publisher :
HAL CCSD, 2013.

Abstract

International audience; The stability analysis of a vision-based control strategy for a quad rotorcraft UAV is addressed. In the present application, the imaging sensing system provides the required states for performing autonomous navigation missions, however, it introduces latencies and time-delays from the time of capture to the time when measurements are available. To overcome this issue, a hierarchical controller is designed considering a time-scale separation between fast and slow dynamics. The dynamics of the fast-time system are stabilized using classical proportional derivative controllers. Additionally, delay frequency and time domain techniques are explored to design a controller for the slow-time system. Simulations and experimental results consisting on a vision-based road following task are presented.

Details

Language :
English
ISSN :
09210296 and 15730409
Database :
OpenAIRE
Journal :
Journal of Intelligent and Robotic Systems, Journal of Intelligent and Robotic Systems, Springer Verlag, 2013, 74 (1-2), pp.69-84. ⟨10.1007/s10846-013-9946-z⟩
Accession number :
edsair.dedup.wf.001..aa64113684ab8069e96537734328aa42