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.
All Science Journal Classification (ASJC) codes
- Materials Science(all)
- Aerospace Engineering
- Mechanics of Materials
- Mechanical Engineering