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ATTITUDE ESTIMATION FROM MAGNETOMETER AND EARTH-ALBEDO-CORRECTED COARSE SUN SENSOR MEASUREMENTS

机译:磁力仪和地球玻璃校正粗太阳传感器测量的态度估计

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A low cost, robust Attitude Determination System with good accuracy for small satellites can be achieved by using a combination of magnetometer and Coarse Sun Sensor. The Coarse Sun Sensor consists of solar cells placed on each of the six outside surfaces of the satellite. The main measurement error of the Coarse Sun Sensor occurs due to the Earth's albedo which can cause an angular deviation of more than 20 degrees. By modelling the albedo and applying state estimation methods for attitude determination the error can be reduced drastically to less than 1 degree, depending on the conditions. In the first part of this paper the development of the albedo model is presented. In the second part the Extended Kalman Filter used for attitude determination is described. The albedo model of the earth is created using existing reflectivity data. Polynomials to describe the albedo light vector received by a satellite in its orbit are derived. The total light vector and the magnetic field vector, taken from the IGRF model, are used by the Kalman Filter.
机译:通过使用磁力计和粗糙的太阳传感器的组合,可以实现具有良好精度的低成本,鲁棒姿态确定系统,具有良好的小卫星精度。粗糙的太阳传感器由放置在卫星的六个外表面中的每一个上的太阳能电池组成。由于地球的反介质,粗糙太阳传感器的主要测量误差发生,这可能导致大于20度以上的角度偏差。通过对Albedo和应用状态估算方法进行建模,根据条件,误差可以急剧减少到小于1度。在本文的第一部分,提出了Albedo模型的开发。在第二部分中,描述了用于姿态确定的扩展卡尔曼滤波器。地球的Albedo模型是使用现有的反射率数据创建的。多项式来描述在其轨道中卫星接收的Albedo光载体。卡尔曼滤波器使用从IGRF模型中获取的总光矢量和磁场矢量。

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