Air data system fault modeling and detection
Air data system fault modeling and detection
- Neue Suche nach: Freeman, Paul
- Neue Suche nach: Seiler, Peter
- Neue Suche nach: Balas, Gary J.
- Neue Suche nach: Freeman, Paul
- Neue Suche nach: Seiler, Peter
- Neue Suche nach: Balas, Gary J.
Aircraft pitot-static probes are essential to airspeed and altitude measurements and safe flight. Measurement integrity is typically achieved via sensor hardware redundancy and a voting system. Hardware redundancy imposes a cost and payload penalty. This paper investigates an analytical alternative to hardware redundancy requiring a mathematical model of faulted and unfaulted pitot-static probes. The most common probe faults–debris, ice, or water blockages–are modeled using physical air data relationships and experimental wind tunnel data. These models are used with a linear model of the NASA GTM aircraft at one flight condition to design robust fault detection filters. Two linear H∞ filters are designed to detect faults, reject disturbances, and provide robustness to model errors. Performance is evaluated using experimentally derived fault models with nonlinear aircraft simulations that incorporate actuator uncertainty.
Dokumentinformationen
Air data system fault modeling and detection
Control Engineering Practice ; 21 , 10 ; 1290-1301
2013
12 Seiten, 28 Quellen
Aufsatz (Zeitschrift)
Englisch
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