in this paper the problem of detecting and isolating faults on the actuators of a small commercial aircraft using online approximators is dealt with. in particular the capabilities of radial basis neural networks to approximate faults on the engines and elevators of an AP-68 Vulcanair commercial aircraft are investigated also in the presence of model uncertainties and external disturbances. The structure of the aircraft and of the fault models appears to be well suited for this kind of application. Although some effort has to be spent in tuning a certain number of parameters, the numerical results obtained on a full nonlinear Matlab-Simulink simulator of the aircraft seem to be encouraging

Actuators FDI on a Small Commercial Aircraft Using Online Approximators

MATTEI, Massimiliano;
2005

Abstract

in this paper the problem of detecting and isolating faults on the actuators of a small commercial aircraft using online approximators is dealt with. in particular the capabilities of radial basis neural networks to approximate faults on the engines and elevators of an AP-68 Vulcanair commercial aircraft are investigated also in the presence of model uncertainties and external disturbances. The structure of the aircraft and of the fault models appears to be well suited for this kind of application. Although some effort has to be spent in tuning a certain number of parameters, the numerical results obtained on a full nonlinear Matlab-Simulink simulator of the aircraft seem to be encouraging
978-008045108-4
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11591/213983
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