- Tytuł:
- SMAC-FDI: A single model active fault detection and isolation system for unmanned aircraft
- Autorzy:
- Ducard, G. J. J.
- Powiązania:
- https://bibliotekanauki.pl/articles/331366.pdf
- Data publikacji:
- 2015
- Wydawca:
- Uniwersytet Zielonogórski. Oficyna Wydawnicza
- Tematy:
-
fault detection
fault isolation
unmanned aerial vehicle
Kalman filtering
computationally efficient diagnosis system
active fault diagnosis
artificial excitation system
detekcja uszkodzeń
lokalizacja uszkodzeń
bezzałogowiec
filtracja Kalmana
diagnostyka uszkodzeń
układ wzbudzenia - Opis:
- This article presents a single model active fault detection and isolation system (SMAC-FDI) which is designed to efficiently detect and isolate a faulty actuator in a system, such as a small (unmanned) aircraft. This FDI system is based on a single and simple aerodynamic model of an aircraft in order to generate some residuals, as soon as an actuator fault occurs. These residuals are used to trigger an active strategy based on artificial exciting signals that searches within the residuals for the signature of an actuator fault. Fault isolation is carried out through an innovative mechanism that does not use the previous residuals but the actuator control signals directly. In addition, the paper presents a complete parameter-tuning strategy for this FDI system. The novel concepts are backed-up by simulations of a small unmanned aircraft experiencing successive actuator failures. The robustness of the SMAC-FDI method is tested in the presence of model uncertainties, realistic sensor noise and wind gusts. Finally, the paper concludes with a discussion on the computational efficiency of the method and its ability to run on small microcontrollers.
- Źródło:
-
International Journal of Applied Mathematics and Computer Science; 2015, 25, 1; 189-201
1641-876X
2083-8492 - Pojawia się w:
- International Journal of Applied Mathematics and Computer Science
- Dostawca treści:
- Biblioteka Nauki
Artykuł