• 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