【摘要】 针对太阳翼展开结构的展开预测问题，设计了太阳翼模型并建立其刚柔耦合模型，通过分层修正思想对具有复杂结构的太阳翼展开机构进行了模型修正。首先通过实测基板的模态，基于响应面方法修正了基板柔性模型的材料参数;其次以实测太阳翼展开角度为目标，基于神经网络修正了模型中刚性构件连接参数;最后通过太阳翼展开实验对模型进行了验证。结果表明，分层修正后的模型与实际模型具有更好的一致性，能够为太阳翼展开时间预测提供参考。更多还原

【Abstract】 Aiming to address the deployment prediction problem for solar array mechanisms,this study designs a solar array model and establishes its rigid-flexible coupling dynamics model. A hierarchical correction approach is adopted to refine the model of this complex deployment mechanism. Firstly,based on measured modal data of the substrate,the material parameters of the flexible substrate model are corrected using the response surface method. Subsequently,with the aim of matching the measured deployment angles,the connection parameters of rigid components are corrected via a neural network. The model is ultimately validated through deployment experiments. Results indicate that the hierarchically corrected model achieves better consistency with the physical system and can serve as a reliable reference for predicting solar array deployment time.更多还原