There have been many recent efforts that aim to improve aviation safety, particularly for general aviation vehicles. In the same spirit as these past efforts, this work provides a series of tools and methods intended for the identification and analysis of loss-of-control for general aviation vehicles. An overview of modeling techniques relevant to the development of a six-degree-of-freedom flight dynamics model for general aviation vehicles is provided. Current developments on the definition and detection of loss-of-control events in prior work are then explored and presented. Using these tools, two new loss-of-control detection and analysis methods are developed to identify loss-of-control safety margins retrospectively in flight data records. An early demonstration of both the flight dynamic modeling techniques and the proposed loss-of-control methods is then presented. These demonstrations suggest that the newly defined metrics do provide a quantitative basis for loss-of-control prediction and produce an assessment of overall safety for an actual general aviation flight data record.
展开▼
