Aerodynamic Modeling and Aerodynamic Parameter Identification for High-Speed Aircraft

The aerodynamic parameters modeling and identification method of high-speed aircraft are studied in this paper. Firstly, the dynamic characteristics and aerodynamic performance of high-speed aircraft are investigated to establish the aerodynamic parameters theoretical model. Then, this paper provides a neural network approximating method for the aero-dynamic parameters model by using the off-line flight data to mitigate the impact of modeling error. The input of the neural network can be determined according to the theoretical model of aerodynamic parameters. Moreover, based on the estimation result of neural network, the least squares method is used to identify the aerodynamic parameters relying on the states of high-speed aircraft. The purpose of this paper is to improve the accuracy and performance of the aerodynamic parameters identification of high-speed aircraft. Finally, the approximation effectiveness of neural network and the identification effect of aerodynamic parameters for high-speed aircraft are verified by the fight simulation experiment.