Representative post-stall modeling of T-tailed regional jets and turboprops for upset recovery training

Loss-of-control resulting from airplane upset is a leading cause of worldwide commercial aircraft accidents. In order to provide pilots with sufficient stall recovery training using ground simulators, flight models will need to be improved.;In this thesis, a methodology for generating a generic representative post-stall aircraft model is developed. Current type specific post-stall models are too expensive to generate, and are not practical for routine training. The representative model offers a much cheaper way to train crew for upset conditions, at the same time providing sufficiently realistic cues seen in an upset condition.;The methodology provides a foundation for generating full scale representative models using wind tunnel data and physics-based approaches. An example of applying the methodology to predict stall regime aircraft behavior is provided for one aerodynamic coefficient.