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首页> 外文期刊>Journal of guidance, control, and dynamics >Consider-Filter-Based On-Orbit Coarse Sun Sensor Calibration Sensitivity
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Consider-Filter-Based On-Orbit Coarse Sun Sensor Calibration Sensitivity

机译：考虑基于滤波器的在轨粗太阳传感器校准灵敏度

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摘要

A modified-Rodrigues-parameter-based coarse sun sensor (CSS) calibration filter, based on an extended consider Kalman filter (ECKF), was analyzed for estimating the calibration coefficient and alignment misalignment angles of CSS onboard a spacecraft in low Earth orbit. The sensitivity to albedo knowledge and attitude measurements and the computation time of the filter are computed using realistic numerical simulations. While the method does require inertial attitude measurements, such as from a star tracker or magnetometer, calibration can be performed using poor inertial attitude measurements, on the order of 1° error standard deviation, with no significant increase in calibration error. At best, CSS calibration scale factors can be estimated to less than 1%, and alignment angles can be estimated to approximately 1 deg. However, computation time can be reduced by a factor of 6, and calibration coefficient accuracies of 2% and alignment accuracies of approximately 2° can still be achieved. Such a calibration filter could be used onboard a small satellite in order to reduce necessary ground support, increase autonomy, and improve the functionality of safe-mode operations.
机译：基于扩展考虑卡尔曼滤波器（ECKF），对改进的基于罗德里格斯参数的粗太阳传感器（CSS）校准滤波器进行了分析，以估算低地球轨道航天器上CSS的校准系数和对准未对准角度。使用真实的数值模拟来计算对反照率知识和姿态测量的敏感度以及滤波器的计算时间。尽管该方法确实需要进行惯性姿态测量（例如，通过恒星跟踪仪或磁力计进行测量），但是可以使用较差的惯性姿态测量来执行校准，误差标准偏差为1°，而校准误差不会显着增加。充其量，CSS校准比例因子可以估计为小于1％，对齐角度可以估计为大约1度。但是，可以将计算时间减少6倍，并且仍然可以实现2％的校准系数精度和大约2°的对准精度。可以在小型卫星上使用这种校准滤波器，以减少必要的地面支持，增加自主性并改善安全模式操作的功能。

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