A Knowledge-Based Approach for Design and Modelling of High Lift Actuation Systems

Abstract

High lift actuation system design is a highly iterative process. Especially the preliminary design phase, which sets the course for the following design steps, is characterized by uncertain and changing data input. Despite the importance of this early design phase, a specialized and integrated computational support is not available. The objective of the research project WissBaSys is to offer knowledge-based design assistance focused on the preliminary design of high lift actuation systems. Moreover, information concerning a specific drive system architecture and component data can be used for an automated model generation leading to a significant time reduction and enhanced traceability. A capable approach for order reduction of shaft transmission models, as well as the concept for computer-aided modelling, is presented in this article.

Keywords

high lift actuation system system design modelling and simulation flight control systems engineering knowledge-based systems

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References

Recksiek

Advanced high lift system architecture with distributed electrical flap actuation. In Proceedings of the Workshop on Aircraft system technologies, Hamburg, 2009.

Rudolph

P. K. C.

High-lift systems on commercial subsonic airliners. NASA Contractor Report no. 4746, National Aeronautics and Space Administration, Ames Research Center, Moffett Field, CA, USA 1996.

Pfennig

Carl

U. B.

Thielecke

Recent advances towards an integrated and optimized design of high lift actuation systems. In Proceedings of the SAE 2009 AeroTech Congress & Exhibition, Seattle, 2009.

Fielding

J. P.

Introduction to aircraft design , 1999(Cambridge: Cambridge University Press, Cambridge).

Jackson

Systems engineering for commercial aircraft , 1997 (Ashgate Publishing, Singapore).

Howe

Aircraft conceptual design synthesis 2000 (Professional Engineering Publishing, St Edmunds, London).

Pfennig

Thielecke

Konzepte und Methoden für eine rechnergestützte Auslegung der Antriebssysteme von Hochauftriebssystemen In Deutscher Luft und Raumfahrt-kongress, Darmstadt, 2008.

Neumann

Holert

Carl

Für eine sichere Landung - Simulation von Landeklappenantriebssystemen. antriebstechnik’

Band 2004, 43(4) 70–74.

Beierle

Kern-Isberner

Methoden wissensbasierter Systeme , 2000 (Vieweg Verlag, Braunschwwig).

10.

Hyvonen

Constraint reasoning based on interval arithmetic. In Proceedings of the 11th International Joint Conference on Artificial intelligence, Detroit, 1989.

11.

Davis

Constraint propagation with interval labels. Artif. Intell. , 1987, 32, 281–331.

12.

Lhomme

Consistency Techniques for Numeric CSPs InProceedings of the 13th International JointConference on Artificial intelligence, Chambéry, 1993, pp. 232–238.

13.

Pelchen

Schweiger

Otter

Modeling and simulating the efficiency of gearboxes and of planetary gearboxes. In Proceedings of the 2nd International Modelica Conference, Oberpfaffenhofen, March 2002, pp. 257–266.

14.

Modelica Association (Ed.) ModelicaTM - A unified object-oriented language for physical systems modeling. Tutorial, Version 1.4, 15 December 2000.

15.

Tiller

M. M.

Introduction to physical modelling with modelica , 2004 (Kluwer Academic Publishers, Boston).

16.

Laschet

Simulation von Antriebssystemen , 1988 (Springer Verlag, Berlin).

17.

Ruprecht

Thielecke

Recksiek

SIVA - a testrig for the validation of high lift component models. In Proceedings of the 1st International Workshop on Aircraft system technologies, Hamburg, 29–30 March 2007.

18.

Rechter

Richter

Die Simulation als Hilfsmittel bei der Entwicklung und Integration der A330/340-Hochauftriebs-systeme. Deutscher Luft- und Raumfahrtkongress Band I, G&uUttingen, 1993.

19.

Müller

P. C.

Schiehlen

W. O.

Linear vibrations , 1985(Kluwer Academic Publishers, Lancaster).