Multiple model Kalman filter for attitude determination of precision pointing spacecraft
Multiple model Kalman filter for attitude determination of precision pointing spacecraft
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DOI：
10.1016/j.actaastro.2010.08.026
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发表时间：
2011-04
影响因子：
3.5
通讯作者：
K. Xiong;T. Liang;Lei Yongjun
中科院分区：
文献类型：
--
作者：
K. Xiong;T. Liang;Lei Yongjun
针对由陀螺和星星敏感器组成的卫星姿态确定系统，提出了一种新的多模型估计器。主要目的是校正星星敏感器的低频误差，提高姿态确定精度。该方法首先根据标准卡尔曼滤波器得到的陀螺漂移估计的频谱，提取低频误差的具体频率;然后，实现一组基于多个模型的卡尔曼滤波器来识别具有特定频率的误差信号的幅度，从而获得参考模型以补偿低频误差的影响。仿真结果表明，所提出的方法优于现有的校准方法的基础上的状态增强技术。
This paper proposes a novel multiple model estimator for the satellite attitude determination system composed of gyroscopes and star sensors. The main objective is to calibrate the low frequency error of the star sensor and improve the attitude determination accuracy. In the proposed approach, first, the specific frequencies of the low frequency error is extracted according to the frequency spectrum of the estimate of the gyroscope drift obtained from a standard Kalman filter; then, a bank of Kalman filters based on multiple models is implemented to identify the amplitudes of the error signals with the specific frequencies, such that a reference model is obtained to compensate for the effects of the low frequency error. Simulation results indicate that the proposed approach outperforms the existing calibration approach based on the state augmentation technique.