Lateral Post-stall Aerodynamic Modeling using Flight Test Data

Loss-of-control resulting from airplane upset is a leading cause of worldwide commercial aircraft accidents. In response, the Federal Aviation Administration requires all U.S. air carrier pilots to receive upset-recovery training in flight simulators by 2020. However, the aerodynamic models in most flight simulators are not valid at upset conditions and must be updated before they can be used for training. In this thesis, a method is proposed for generating representative lateral stall models to better represent the aircraft dynamics at stall. Using certification flight test data and supplementary data provided by the manufacturer, the aerodynamic database of a turboprop aircraft is extended to cover large-angle-of-attack flight, while leaving the original model untouched at low angles of attack. It is then integrated into a 6-DOF simulator and shows reasonable match to the behavior observed in flight tests.M.A.S.2017-05-31 00:00:0