Taiji-1 is the first technology demonstration satellite of the Taiji Program in Space, which, served as the pre-PathFinder mission, had finished its nominal science operational phase and successfully accomplished the mission goal. The gravitational reference sensor (GRS) on-board Taiji-1 is one of the key science payloads that coupled strongly to other instruments, sub-systems and also the satellite platform itself. Fluctuations of the physical environment inside the satellite and mechanical disturbances of the platform generate important noises in the GRS measurements, therefore their science data can also be used to evaluate the performance of the μN-thrusters and the stability of the platform. In this work, we report on the methods employed in Taiji-1 GRS data processing in the systematical modelings of the spacecraft orbit and attitude perturbations, mechanical disturbances, and internal environment changes. The modeled noises are then removed carefully from the GRS science data to improve the data quality and the GRS in-orbit performance estimations.

中文翻译：

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太极一号任务数据处理中的系统建模

太极一号是太极计划在太空的第一颗技术示范卫星，作为探路前的任务，已经完成了名义上的科学运行阶段，并成功完成了任务目标。太极一号上的重力参考传感器（GRS）是与其他仪器、子系统以及卫星平台本身紧密耦合的关键科学有效载荷之一。卫星内部物理环境的波动和平台的机械扰动会在 GRS 测量中产生重要的噪声，因此它们的科学数据也可用于评估 GRS 的性能。μñ-推进器和平台的稳定性。在这项工作中，我们报告了太极一号 GRS 数据处理在航天器轨道和姿态扰动、机械扰动和内部环境变化的系统建模中采用的方法。然后从 GRS 科学数据中仔细去除建模噪声，以提高数据质量和 GRS 在轨性能估计。