Air data system fault modeling and detection

Paul Freeman, Peter J Seiler Jr, Gary J. Balas

Research output: Contribution to journalArticle

31 Citations (Scopus)

Abstract

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.

Original languageEnglish (US)
Pages (from-to)1290-1301
Number of pages12
JournalControl Engineering Practice
Volume21
Issue number10
DOIs
StatePublished - Oct 1 2013

Fingerprint

Redundancy
Aircraft
Fault
Probe
Hardware
Air
Modeling
Filter
Voting Systems
Model Error
Robust Design
Wind Tunnel
Fault Detection
NASA
Integrity
Penalty
Actuator
Linear Model
Disturbance
Fault detection

Keywords

  • Aerospace
  • Air data
  • Fault detection
  • Robust estimation
  • Sensor faults

Cite this

Air data system fault modeling and detection. / Freeman, Paul; Seiler Jr, Peter J; Balas, Gary J.

In: Control Engineering Practice, Vol. 21, No. 10, 01.10.2013, p. 1290-1301.

Research output: Contribution to journalArticle

Freeman, Paul ; Seiler Jr, Peter J ; Balas, Gary J. / Air data system fault modeling and detection. In: Control Engineering Practice. 2013 ; Vol. 21, No. 10. pp. 1290-1301.
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