Research on intelligent computing model of aerodynamic fusion 6-DOF trajectory and attitude of low-orbit vehicle

This study incorporates aerodynamic three-force perturbations alongside celestial perturbations to perform six-degree-of-freedom orbital dynamics modeling, thereby establishing a comprehensive six-degree-of-freedom ballistic and attitude simulation model, accompanied by illustrative simulation examples. In the context of the low-Earth orbit satellite space environment, by integrating the effects of sparse gas with an optimal atmospheric environment model, the Boltzmann equation can be employed to compute corrections to aerodynamic coefficients using a unified algorithm based on gas dynamics theory. Simultaneously, by integrating the BP neural network with historical aerodynamic data, we predict the resultant aerodynamic forces and moments, which are subsequently employed for the calibration of a six-degree-of-freedom orbital dynamics model. In conclusion, the flight trajectory and attitude information of an uncontrolled reentry spacecraft are presented and compared with official data. The results indicate that the attitude and orbital parameters extrapolated from the model developed in this study closely align with the officially released observational data, demonstrating high precision. This model offers enhanced accuracy for spacecraft orbit determination and forecasting.