A. Hoffmann, R. Luckner

For automatic flight control, indicated airspeed VIAS, angle of attack (AOA) and altitude have to be measured. This can be achived by absolute and differential pressure sensors. As pressure sensor signals are noisy, they have to be filtered. Another influence on the sensor signals is atmospheric turbulence (process noise). An optimal filter solution in presence of measurement and process noise is a continuous Kalman-Bucy filter. The observer structure of the filter allows signal quality improvement and broadband estimation of immeasurable states. The system model that is needed for filter design is the flight mechanical model of the longitudinal aircraft motion combined with Dryden?s model of turbulence. With such a model, the two immeasurable states, the wind-induced angle of attack [alpha]w and the wind velocity Vw can be estimated. The estimated states can be used for effective feed-forward gust alleviation up to the frequency range of the short period mode. For proof of this filter concept and its robustness, different kinds of disturbances such as discrete gusts and a bias in the [alpha] measurement are simulated and discussed.

Deutscher Luft- und Raumfahrtkongress 2010

Conference Paper

englisch

21,0 x 29,7 cm, 12 Seiten

Deutscher Luft- und Raumfahrtkongress Tagungsband - Manuskripte, 2010, 2010, ; S.275-286; 2010; Deutsche Gesellschaft für Luft- und Raumfahrt - Lilienthal-Oberth e.V., Bonn

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Bestellbar

2010