Application of stepwise regression method in aerodynamic parameter identification of unmanned aerial vehicle

The system identification theory is an important tool for modeling vehicle dynamics. Aiming at the situation that the unmanned aerial vehicle (UAV) flight test conditions are limited and complete flight data cannot be obtained, a method for estimating aerodynamic angles and aerodynamic coefficients based on measurable data is proposed. Taking the flying wing UAV as an example, the aerodynamic parameters were determined and calculated by the stepwise regression method. The comparison of test data and simulation results verifies the correctness and practicality of the method. Considering the mathematical nature of discriminant modeling, the method is generally applicable to fixed-wing UAVs with various aerodynamic layouts.