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?
The authors present a sophisticated fusion model for 6-DOF LEO vehicle dynamics, integrating aerodynamic perturbations, a BP neural network surrogate, and genetic algorithm optimization. The reported accuracy is impressive, with most aerodynamic coefficient deviations under 1%. However, two points require clarification:
—The higher deviation (1.713%) for the yaw moment coefficient is notable. Please discuss the likely physical or modeling origins of this specific discrepancy (e.g., sensitivity to sideslip coupling, transitional flow effects, or vehicle asymmetry) and its potential impact on long-term attitude prediction.
—In Section 4.1, Eq. (3.1), the force model includes A_NSL (lunar non-spherical gravitational perturbation). For the simulated LEO regime (approx. 250–350 km), this perturbation is typically orders of magnitude smaller than Earth’s J₂, atmospheric drag, and lift terms. Please justify its inclusion versus its omission, as it may unnecessarily complicate the numerical integration.
—Furthermore, the definition of A_C as the “perturbation acceleration of aerodynamic lateral force, which is perpendicular to the perturbation acceleration of lift resistance” is geometrically ambiguous. Please specify the coordinate frame (e.g., body-fixed or velocity frame) in which this component is defined and describe how its direction is resolved during the vehicle’s coupled rotational motion.