Vehicle Simulation Laboratory
Identification of Full-Stall Flight Models from Certification Test Data
A large number of recent crashes have involved aerodynamic stall followed by inappropriate pilot control inputs. Therefore, most aviation governing bodies have extended pilot training to include full-stall recovery training in flight simulators. Unfortunately, due to the complicated flow conditions during stall, it is extremely expensive and difficult to develop accurate flight models, and therefore upcoming regulations only require a representative flight model in the stall regime. The VSL group, supported by the US FAA, has been developing methods for identification of these full-stall models from existing flight certification data. This is a very challenging problem as the certification flight test data is not well suited for automated identification. We have developed a new two-step multi-maneuver, robust MAP estimation algorithm that is well suited for this difficult identification problem.