Flight envelope cueing on a tilt-rotor aircraft using neural network limit prediction

Joe Horn, Anthony J. Calise, J. V.R. Prasad, Matt O'Rourke

Research output: Contribution to journalConference article

10 Scopus citations

Abstract

This paper discusses a method for using neural networks to provide predictive flight envelope limit information. The method is applied to provide a tactile cueing system for normal load factor and angle-of-attack buffet limits on the V-22 tilt-rotor aircraft. The system was tested in real-time piloted simulation. Results show the system allowed the pilot to maneuver along the flight envelope boundaries without exceeding the limits. Results indicate that this approach has the potential to expand the effective safe maneuvering flight envelope of aircraft with structural load limits.

Original languageEnglish (US)
Pages (from-to)1093-1104
Number of pages12
JournalAnnual Forum Proceedings - American Helicopter Society
Volume2
StatePublished - Jan 1 1998
EventProceedings of the 1998 54th Annual Forum. Part 2 (of 2) - Washington, DC, USA
Duration: May 20 1998May 22 1998

All Science Journal Classification (ASJC) codes

  • Transportation
  • Aerospace Engineering

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