<abstract xmlns="http://www.w3.org/1999/xhtml"><p> 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.</p></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.

An SFDI Observer–Based Scheme for a General Aviation Aircraft

Department of Engineering University of Naples Parthenope, Isola C4, 80143 Naples, Italy

Department of Industrial and Information Engineering (DIII) Second University of Naples, Real Casa dell’Annunziata Via Roma, 29, Aversa (CE), 81031, Italy

Guidance, Navigation and Control Laboratory Italian Aerospace Research Center (CIRA), Capua (CE), Italy

International Journal of Applied Mathematics and Computer Science

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

{"article-title":"An SFDI Observer\u2013Based Scheme for a General Aviation Aircraft"}

The problem of detecting and isolating sensor faults (sensor fault detection and isolation-SFDI) on a general aviation aircraft, in the presence of external...

An SFDI Observer–Based Scheme for a General Aviation Aircraft

Data publikacji: 25 mar 2015

Zakres stron: 149 - 158

Otrzymano: 03 lut 2014

DOI: https://doi.org/10.1515/amcs-2015-0011

© by Marco Ariola

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.