基于YORP效应的高轨失效卫星旋转状态分析

失效卫星的旋转运动状态探测和演化分析，对于天域感知、空间碎片主动清除技术的应用都有着重要意义。当前空间碎片旋转运动的研究对象主要集中在低轨目标，而高轨目标由于观测能力的限制，其空间环境因素的建模还很不完善，旋转演化规律的研究仍存在着很多困难。本项目将基于高轨失效卫星历史光度观测数据的特征分析，以辐射压作用力模型为基础，建立精细YORP效应力矩模型，再引入智能优化算法完成目标旋转状态长期演化规律的数值演算和参数求解，之后通过数值仿真光度曲线，校验并修正模型参数。本项目的研究将有助于高轨空间环境的分析，支撑空间碎片主动清除任务的实施方案设计，同时在目标特性分析、异动识别、天域感知等领域有着广阔的应用前景。

The detection and evolution analysis of the rotational state of nonfunctional satellite are of great significance for space domain awareness and the application of active debris removal. At present, the researches of the rotation of space debris are mainly focused on the low earth orbit objects. Due to the limitation of observation capability, the modeling of the space environmental factors in geostationary orbit are still incomplete, and there are many difficulties in the study of the rotation evolution of satellite. In this project, a refined YORP torque model will be established based on the model of radiation pressure and the characteristic analysis of historical photometric data of nonfunctional satellites in geostationary orbit. Intelligent optimization algorithm will be introduced to perform the numerical calculation and to solve the parameters in the long-term evolution of the rotational state of satellite. Afterwards, the model parameters will be verified or corrected by light curves from numerical simulation. The research in this project will be helpful for the analysis of the space environment in geostationary orbit and support the implementation of active debris removal. It has broad application prospects in the areas of object characteristic analysis, anomaly recognition, and space domain awareness.