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Piloted Simulation Evaluation of a Model-Predictive Automatic Recovery System to Prevent Vehicle Loss of Control on Approach
Author(s) -
Jonathan S. Litt,
Yuan Liu,
T. Shane Sowers,
A. Karl Owen,
Ten-Huei Guo
Publication year - 2014
Publication title -
aiaa atmospheric flight mechanics conference
Language(s) - English
Resource type - Conference proceedings
DOI - 10.2514/6.2014-0036
Subject(s) - model predictive control , computer science , control (management) , control engineering , engineering , artificial intelligence
This paper describes a model-predictive automatic recovery system for aircraft on the verge of a loss-of-control situation. The system determines when it must intervene to prevent an imminent accident, resulting from a poor approach. It estimates the altitude loss that would result from a go-around maneuver at the current flight condition. If the loss is projected to violate a minimum altitude threshold, the maneuver is automatically triggered. The system deactivates to allow landing once several criteria are met. Piloted flight simulator evaluation showed the system to provide effective envelope protection during extremely unsafe landing attempts. The results demonstrate how flight and propulsion control can be integrated to recover control of the vehicle automatically and prevent a potential catastrophe.

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