The study presents an intelligent aerodynamic fusion model for six-degree-of-freedom (6-DOF) trajectory and attitude dynamics of low-Earth orbit (LEO) vehicles, combining aerodynamic perturbations, BP neural networks, and genetic algorithm optimization. While the model shows high accuracy with most deviations under 1%, the yaw moment coefficient exhibits a higher deviation of 1.713%. Could the authors clarify the physical implications of this deviation? Additionally, Figures 14–23 compare sample data with model predictions but lack a unified visualization summarizing all coefficients’ relative errors. Could a consolidated summary be provided for clearer interpretation?
