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Paper details
Number 1 - March 2015
Volume 25 - 2015
An SFDI observer-based scheme for a general aviation aircraft
Marco Ariola, Massimiliano Mattei, Immacolata Notaro, Federico Corraro, Adolfo Sollazzo
Abstract
The problem of detecting and isolating sensor faults (sensor fault detection and isolation—SFDI) on a general aviation
aircraft, in the presence of external disturbances, is considered. The proposed approach consists of an extended Kalman
observer applied to an augmented aircraft plant, where some integrators are added to the output variables subject to faults.
The output of the integrators should be ideally zero in the absence of model uncertainties, external disturbances and sensor
faults. A threshold-based decision making system is adopted where the residuals are weighted with gains coming from the
solution to an optimization problem. The proposed nonlinear observer was tested both numerically on a large database of
simulations in the presence of disturbances and model uncertainties and on input-output data recorded during real flights.
In this case, the possibility of successfully applying the proposed technique to detect and isolate faults on inertial and air
data sensors, modelled as step or ramp signals artificially added to the real measurements, is shown.
Keywords
model-based FDI, sensor FDI, extended Kalman filtering, analytical redundancy, flight control