In this paper, the aerodynamic parameters are obtained by Computational Fluid Dynamics (CFD) simulation software, and the aerodynamic modeling of Sweep-Variation Hypersonic Vehicles (SVHV) is carried out based on neural network. Finally, the flight simulation verification is realized by combining the nonlinear control method. Based on the aerodynamic model calculated by neural network, the flight control and flight simulation of SVHV are completed by training the adaptive tracking controller. While considering the uncertainty of the aerodynamic parameters, the wind disturbance encountered in the flight process of SVHV is considered. Based on the nonlinear model of the SVHV, the sweep angle of SVHV is taken as the control input of the nonlinear model to coordinate the speed maneuver of SVHV.