Intelligent Displays for Time-Critical Maneuvering of Multi-Axis Vehicles

A novel training methodology that takes advantage of automation?s potential as a high-speed decision aid and the strengths of human pattern recognition and conditioning is proposed. The methodology applies optimal control theory to solve for a vehicle?s trajectory and the required control inputs. A preview of the commanded input suite is displayed to the pilot, which will dynamically update as the vehicle state changes in time. Using this and other innovative training displays, the pilot should be able to execute numerous maneuvers previously considered outside the operational envelope, in addition to performing ?standard? emergencies with a high degree of control consistency and accuracy. The preview display?s function can be extended to serve as an on-board pilot cueing aid. This methodology can be incorporated in flight simulators to train pilots across a range of platforms. The initial target application will be for rotorcraft autorotation, a particularly challenging and accident-prone multi-axis maneuver. Phase I demonstrated the concept?s feasibility in the rotorcraft autorotation domain. Phase II will focus on practical application and demonstration of the concept for rotorcraft autorotation training and its expansion to other flight vehicles.