中文摘要：

星追踪者的低频率的周期的错误是为高精确性的卫星态度决心的最批评的问题之一。在这份报纸，一条途径被建议在态度测量为星追踪者识别并且补偿低频率的周期的错误。在估计的旋转罗盘飘移和星追踪者的低频率的周期的错误之间的分析表示第一被导出。然后低频率的周期的错误，能被 Fourier 系列表示，被估计的旋转罗盘飘移的频率光谱根据第一步的答案识别。而且，低频率的周期的错误的补偿模型基于识别参数被建立改进态度决心精确性。最后，有希望的模仿的试验性的结果表明建议方法的有效性和有效性。为态度决心的周期的错误基本上被消除，评价精确极大地被改进。

英文摘要：

The low-frequency periodic error of star tracker is one of the most critical problems for high-accuracy satellite attitude determination.In this paper an approach is proposed to identify and compensate the low-frequency periodic error for star tracker in attitude measurement.The analytical expression between the estimated gyro drift and the low-frequency periodic error of star tracker is derived firstly.And then the low-frequency periodic error,which can be expressed by Fourier series,is identified by the frequency spectrum of the estimated gyro drift according to the solution of the first step.Furthermore,the compensated model of the low-frequency periodic error is established based on the identified parameters to improve the attitude determination accuracy.Finally,promising simulated experimental results demonstrate the validity and effectiveness of the proposed method.The periodic error for attitude determination is eliminated basically and the estimation precision is improved greatly.