IDENTIFICATION OF HIGH ANGLE OF ATTACK AERODYNAMIC MODEL USING FLIGHT DATA FROM SPIN TESTS

摘要

This work investigates a new methodology to identify a high angle of attack model using flight data from spin tests, in order to reproduce the spinning behavior of the aircraft in a flight simulator. Typical spin model databases consist of extensive lookup tables, generated from extensive dynamic tests in wind tunnel. In this work, the only data available are those collected in a series of spin flights. The concept of local model networks is applied to indicate how the data should be partitioned, so that the final model has good predictive capability without unnecessary complexity. All force and moment aerodynamic coefficients were calculated using the flight test instrumentation (FTI) available. However, due to limitations of pitot measurements at angles of attack in excess of 40 degrees, it was necessary to obtain airspeed from flight path reconstruction (FPR). Additionally, the FPR allowed calibration of the flow angle vanes, providing true values of angle of attack and sideslip to be used in the parameter estimation process. Another FPR was applied to a new set of flight test data, which was used to validate the obtained model.