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Conference proceeding
Airdata sensor fault detection and isolation for receiver aircraft in aerial refueling
51st AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition,
AIAA Aerospace Sciences Meeting (Grapevine (Dallas/Ft. Worth Region), Texas, 01/07/2013–01/10/2013)
2013
Abstract
This paper presents a redundant-sensor-based adaptive Fault Detection and Isolation (FDI) algorithm, applied to a receiver aircraft in aerial refueling operation. The FDI algorithm is based on a statistical approach and uses measurements from three airdata sensors, placed at different locations. The airdata sensors measure airspeed, angle-of-attack and side slip angle. The new adaptive FDI is aimed at eliminating false fault detections caused from the assumption of identical sensor readings in the nonuniform wind field by using the estimation of airdata measurements in its algorithm. Simulation results show that the adaptive FDI successfully avoids false fault detection caused by nonuniform wind field, and it fully detects and isolate faults during aerial refueling process.
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Details
- Title
- Airdata sensor fault detection and isolation for receiver aircraft in aerial refueling
- Publication Details
- 51st AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition,
- Resource Type
- Conference proceeding
- Conference
- AIAA Aerospace Sciences Meeting (Grapevine (Dallas/Ft. Worth Region), Texas, 01/07/2013–01/10/2013)
- Publisher
- American Institute of Aeronautics and Astronautics, Inc.; United States
- Copyright
- © AAIA
- Identifiers
- 99380090597706600
- Academic Unit
- Intelligent Systems and Robotics; Hal Marcus College of Science and Engineering
- Language
- English