摘要
研究星敏感器低频误差在轨校准问题.星敏感器低频误差主要由周期性的空间热环境变化造成,会对卫星姿态确定精度造成显著影响.针对这一问题,提出一种星敏感器低频误差校准新方法,通过扩维卡尔曼滤波同时估计卫星姿态和低频误差参数.研究表明,采用所提低频误差校准方法能够显著提高姿态确定系统的性能.基于在轨卫星上的星敏感器遥测数据建立了用于数学仿真的星敏感器低频误差模型,数学仿真结果验证了低频误差校准方法的有效性.
This paper studies the star sensor low frequency error （LFE） in-flight calibration problem. The star sensor LFE, which is caused primarily by the periodic thermal distortion, has a great impact on the satellite attitude determination accuracy. To cope with this problem, we propose a novel LFE calibration method. An augmented Kalman filter （A-KF） is adopted to estimate the satellite attitude and the LFE parameters simultaneously. It is specified that the attitude determination accuracy can be improved by u- sing the proposed LFE calibration method. The star sensor LFE model for numerical simulation is estab- lished based on the telemetry data from real star sensors operating under in-orbit conditions. The simula- tion results illustrate the efficiency of the proposed method.
出处
《空间控制技术与应用》
2014年第3期8-13,共6页
Aerospace Control and Application
基金
国家自然科学基金(61074103)
高分辨率对地观测系统重大专项青年创新基金(GFZX04060103)资助项目
关键词
卫星姿态确定
扩维卡尔曼滤波
低频误差
satellite attitude determination
augmented Kalman filter
low frequency error
