小天体柔性附着状态估计的智能预报方法

Addressing the modeling challenges of small celestial body flexible landing dynamics due to strong nonlinearity，a state prediction model is constructed using the Koopman operator. An intelligent prediction method for state estimation of flexible landing is subsequently proposed. To address the difficulties in constructing Koopman eigenfunctions，the dynamics of flexible landing are decomposed into two components：the independent motion of nodes and the coupling motion between the nodes caused by flexible deformation. By approximating the Koopman eigenfunctions associated with the independent motion of the nodes and compensating for the coupling motion between the nodes，a set of observables are developed to approximate the Koopman eigenfunctions of flexible landing dynamics. Using the designed observables，a state intelligent prediction model is established. A state estimation method for flexible landing is then proposed by integrating navigation measurement information. Finally，flexible landing navigation simulations based on the small celestial body 433 Eros model are conducted，validating the effectiveness of the proposed intelligent prediction state estimation method.