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

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