DocumentCode
299002
Title
Using neural networks for aerodynamic parameter modeling
Author
Peterson, Gerald ; Bond, William ; Germann, Roger ; Streeter, Barry ; Urnes, J.
Author_Institution
McDonnell Douglas Corp., St. Louis, MO, USA
Volume
2
fYear
1995
fDate
21-23 Jun 1995
Firstpage
1360
Abstract
Neural networks are being developed at McDonnell Douglas Corporation to provide an onboard model of an aircraft´s aerodynamics to support advanced flight control systems. These flight control systems, constructed using neural networks and advanced controllers, have the potential to reduce flight control development costs and to improve inflight performance. Neural networks are useful in this situation because they can compactly represent the data and operate in real-time
Keywords
aerodynamics; aircraft control; modelling; neurocontrollers; McDonnell Douglas Corporation; advanced flight control systems; aerodynamic parameter modeling; aircraft aerodynamics; flight control development cost reduction; neural networks; Aerodynamics; Aerospace control; Aircraft manufacture; Bonding; Control systems; Costs; Equations; Neural networks; Sensor systems; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, Proceedings of the 1995
Conference_Location
Seattle, WA
Print_ISBN
0-7803-2445-5
Type
conf
DOI
10.1109/ACC.1995.520972
Filename
520972
Link To Document