| ||||||||||||||||||||||||||||||||||||
[TCR15] Set-membership fault detection under noisy environment with application to the detection of abnormal aircraft control surface positionsRevue Internationale avec comité de lecture : Journal International Journal of Control, vol. 88(9), pp. 1878-1894, 2015Mots clés: fault detection; flight control system; set-membership; interval observers; uncertainty; robustness
Résumé:
The paper develops a set membership detection methodology which is applied to the detection of abnormal positions of aircraft
control surfaces. Robust and early detection of such abnormal positions is an important issue for early system reconfiguration and
overall optimization of aircraft design. In order to improve fault sensitivity while ensuring a high level of robustness, the method
combines a data-driven characterization of noise and a model-driven approach based on interval prediction. The efficiency of the
proposed methodology is illustrated through simulation results obtained based on data recorded in several flight scenarios of a
highly representative Aircraft benchmark.
Equipe:
laetitia
Collaboration:
IMS
,
ECS-Lab
BibTeX
|
||||||||||||||||||||||||||||||||||||