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Modeling Aircraft Wing Loads from Flight Data Using Neural Networks
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Technical Paper
2003-01-3025
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
This paper documents input data conditioning, input parameter selection, structure, training, and validation of neural network models of the Active Aeroelastic Wing aircraft. Neural networks can account for uncharacterized nonlinear effects and retain generalization capability. Model inputs include aircraft rates, accelerations, and control surface positions. Linear loads models were developed for network training starting points. The models were trained with rolls, loaded reversals, windup turns, and individual control surface doublets for load excitation. Data results from all loads models at Mach 0.90 and altitude of 15,000 ft. show an average model prediction error reduction of 18.6 percent.
Authors
Topic
Citation
Allen, M. and Dibley, R., "Modeling Aircraft Wing Loads from Flight Data Using Neural NetworksAlso In
References
- Abzug Malcolm J. Larrabee E. Eugene Airplane Stability and Control: A History of the Technologies That Made Aviation Possible Cambridge University Press New York, NY 1997
- Pendleton Ed Bessette Denis Field Pete Miller Gerry Griffin Kenneth The Active Aeroelastic Wing Flight Research Program Technical Program & Model Analytical Development AIAA-98-1972 1998
- Chapra Steven C. Canale Raymond P. Numerical Methods for Engineers McGraw-Hill 1985
- Lewis George E. “AFTI/F-111 Mission Adaptive Wing Maneuver Load Control,” NOTE: ITAR restricted, has number: 1991044498
- Olney Candida D. Hillebrandt Heather Reichenbach Eric Y. An Evaluation Technique for an F/A-18 Aircraft Loads Model Using F/A-18 Systems Research Aircraft Flight Data NASA/TM-2000-209028
- Haas David J. Flitter Lance Milano Joel “Helicopter Flight Data Feature Extraction or Component Load Monitoring,” Journal of Aircraft 33 1 January-February 1996
- Haas David J. Imber Robin “Identification of Helicopter Component Loads Using Multiple Regression,” Journal of Aircraft 31 4 July-August 1994
- Haas David J. Milano Joel Flitter Lance “Prediction of Helicopter Component Loads Using Neural Networks,” Journal of the American Helicopter Society 40 1 January 1995
- Lokos William A. Olney Candida D. Chen Tony Crawford Natalie D. Strain Gage Loads Calibration Testing of the Active Aeroelastic Wing F/A-18 Aircraft NASA/TM-2002-210726
- Hagan Martin T. Menhaj Mohammad B. “Training Feedforward Networks with the Marquardt Algorithm,” IEEE Transactions on Neural Networks 5 6 November 1994 989 993
- MacKay David J. C. “Bayesian Interpolation,” Neural Computation 4 3 1992 415 447
- The Mathworks, Inc. “Neural Network Toolbox, Version 4.0,” Natick, MA September 2000 www.mathworks.com
- Ferrari Silvia Stengel Robert F. “Classical/Neural Synthesis of Nonlinear Control Systems,” Journal of Guidance, Control, and Dynamics 25 3 May–June 2002 442 448