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
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;
Conference_Titel :
American Control Conference, Proceedings of the 1995
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-2445-5
DOI :
10.1109/ACC.1995.520972
