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A safe supervisory flight control scheme in the presence of constraints and anomalies

100%

Franzè G., Furfaro A., Mattei M., Scordamaglia V.

International Journal of Applied Mathematics and Computer Science

2015

tom 25

nr 1

39-51

In this paper the hybrid supervisory control architecture developed by Famularo et al. (2011) for constrained control systems is adopted with the aim to improve safety in aircraft operations when critical events like command saturations or unpredicted anomalies occur. The capabilities of a low-computational demanding predictive scheme for the supervision of non-linear dynamical systems subject to sudden switchings amongst operating conditions and time-varying constraints are exploited in the flight control systems framework. The strategy is based on command governor ideas and is tailored to jointly take into account time-varying set-points/constraints. Unpredictable anomalies in the nominal plant behaviour, whose models fall in the category of time-varying constraints, can also be tolerated by the control scheme. In order to show the effectiveness of the proposed approach, simulations both on a high altitude performance demonstrator unmanned aircraft with redundant control surfaces and the P92 general aviation aircraft are discussed.

An SFDI observer-based scheme for a general aviation aircraft

88%

Ariola M., Mattei M., Notaro I., Corraro F., Sollazzo A.

International Journal of Applied Mathematics and Computer Science

2015

tom 25

nr 1

149-158

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.

Ograniczanie wyników

2 International Journal of Applied Mathematics and Computer Science

2 Mattei M.

1 Ariola M.

1 Corraro F.

1 Franzè G.

1 Furfaro A.

1 Notaro I.

1 Scordamaglia V.

1 Sollazzo A.

2 2015

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A safe supervisory flight control scheme in the presence of constraints and anomalies

An SFDI observer-based scheme for a general aviation aircraft