An SFDI Observer–Based Scheme for a General Aviation Aircraft

International Journal of Applied Mathematics and Computer Science

Ariola Marco¹  Notaro Immacolata²  Mattei Massimiliano²  Corraro Federico³  Sollazzo Adolfo³ 

[1] 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;

关键词: model-based fdi;    sensor fdi;    extended kalman filtering;    analytical redundancy;    flight control;   

DOI  :  10.1515/amcs-2015-0011

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown