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Conference proceeding
False fault detection in airdata sensor due to nonuniform wind in aerial refueling
AIAA Atmospheric Flight Mechanics Conference
AIAA Atmospheric Flight Mechanics Conference ( Portland, USA, 08/08/2011–08/11/2011)
2011
Abstract
This paper presents a redundant-sensor-based 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 identical airdata sensors placed at different locations. The airdata sensors measure airspeed, angle-of-attack, and side slip angle. Simulation results show that the FDI algorithm successfully performs detection and isolation of sensor faults when the receiver aircraft flies solo or outside the wake of the tanker aircraft. However, simulation experiments also show that the FDI algorithm yields false fault detection when the receive aircraft flies within the nonuniform wind field, induced by the wake vortices of the tanker.
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Details
- Title
- False fault detection in airdata sensor due to nonuniform wind in aerial refueling
- Publication Details
- AIAA Atmospheric Flight Mechanics Conference
- Resource Type
- Conference proceeding
- Conference
- AIAA Atmospheric Flight Mechanics Conference ( Portland, USA, 08/08/2011–08/11/2011)
- Publisher
- American Institute of Aeronautics and Astronautics, Inc.; United States
- Copyright
- 2011 by Atilla Dogan
- Identifiers
- 99380090305806600
- Academic Unit
- Intelligent Systems and Robotics; Hal Marcus College of Science and Engineering
- Language
- English