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

Joseph Francis Horn, Anthony J. Calise, J. V.R. Prasad

Research output: Contribution to journalArticle

44 Citations (Scopus)

Abstract

A method for using neural networks to provide predictive flight envelope limit information was developed. The method was applied to provide a tactile cueing system for normal load factor and angle-of-attack buffet limits on the V-22 tilt-rotor aircraft. Results from a real-time piloted simulation showed that the system enabled the pilot to maneuver along the flight envelope boundaries without exceeding the limits. Results indicated that the approach has the potential to expand the effective safe maneuvering flight envelope of aircraft with structural load limits.

Original languageEnglish (US)
Pages (from-to)23-31
Number of pages9
JournalJournal of the American Helicopter Society
Volume46
Issue number1
StatePublished - Jan 1 2001

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Flight envelopes
Rotors
Aircraft
Neural networks
Structural loads
Load limits
Angle of attack

All Science Journal Classification (ASJC) codes

  • Materials Science(all)
  • Aerospace Engineering
  • Mechanics of Materials
  • Mechanical Engineering

Cite this

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Flight envelope cueing on a tilt-rotor aircraft using neural network limit prediction. / Horn, Joseph Francis; Calise, Anthony J.; Prasad, J. V.R.

In: Journal of the American Helicopter Society, Vol. 46, No. 1, 01.01.2001, p. 23-31.

Research output: Contribution to journalArticle

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