Aircraft Air Data Estimation Using a Model-Based Approach

John T. Pearson, R. M. Goodall, M. Eastham

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Air data consists of flight parameters such as pressure altitude, Mach number, angle of attack and angle of sideslip. Traditionally these are derived from measurements of local pressures and local flow angles on the fuselage using external air data probes and vanes. This paper describes the formulation of a Kalman Filter for the estimation of aircraft air data states associated with the pitch aerodynamics. The mathematical model of the aircraft embedded within the Kalman Filter contains the highly non-linear aerodynamic coefficients for the pitch dynamics of the aircraft. A selection of results from a comprehensive simulation assessment are also presented.

Original languageEnglish
Title of host publication17th IFAC Symposium on Automatic Control in Aerospace
PublisherElsevier
Pages557-562
Number of pages6
Volume40
Edition7
ISBN (Print)9783902661241, 9781605607344
DOIs
Publication statusPublished - 1 Dec 2007
Externally publishedYes
Event17th IFAC Symposium on Automatic Control in Aerospace - Toulouse, France
Duration: 25 Jun 200729 Jun 2007
Conference number: 17
https://www.sciencedirect.com/journal/ifac-proceedings-volumes/vol/40/issue/7?page=2

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
PublisherElsevier
Number7
Volume40
ISSN (Print)1474-6670

Conference

Conference17th IFAC Symposium on Automatic Control in Aerospace
Abbreviated titleACA' 2007
CountryFrance
CityToulouse
Period25/06/0729/06/07
Internet address

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Pearson, J. T., Goodall, R. M., & Eastham, M. (2007). Aircraft Air Data Estimation Using a Model-Based Approach. In 17th IFAC Symposium on Automatic Control in Aerospace (7 ed., Vol. 40, pp. 557-562). (IFAC Proceedings Volumes (IFAC-PapersOnline); Vol. 40, No. 7). Elsevier. https://doi.org/10.3182/20070625-5-FR-2916.00095