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当飞行器大角速度机动时,采用传统的星跟踪算法来提取星像坐标时,必须选取较大的扫描星图区域,从而增加了区域内包含其它星像部分像元或全部像元的可能,需要多次采用星对角距比较来选取正确的星像坐标,因此,在选取正确的星像坐标时增加了误匹配的可能。为此,文中提出一种星敏感器高动态下自主星跟踪算法,首先根据前邻时刻的瞬时姿态来预测下一时刻的输出姿态,再利用预测姿态预测当前时刻恒星在下一时刻的星像坐标,最后扫描在以预测的星像坐标为中心的星图范围内提取实际的恒星星像坐标。这样克服了采用传统星跟踪算法带来的数据更新率低、可能误匹配高甚至不能提取正确地星像坐标的缺点。最后,采用该方法进行了仿真验证以及外场观星试验。
When using the traditional star tracking algorithm to extract the star coordinates when the aircraft maneuvering at high angular velocity, a larger scan star region must be selected, which increases the possibility of including other star image elements or all pixels in the region. Many times using the star diagonal distance comparison to select the correct star coordinates, therefore, in the selection of the correct star coordinates increases the possibility of mismatch. Therefore, this paper proposes a star-sensor autonomous dynamic star tracking algorithm with high dynamics. Firstly, the output attitude of the next moment is predicted according to the instantaneous attitude of the immediately preceding moment, and then the predicted star attitude of the star at the next moment , The final scan extracts the actual star image coordinates within the range of the star image centered on the predicted star image coordinates. This overcomes the traditional star tracking algorithm brings the data update rate is low, may match the high error can not even extract the shortcomings of the correct star coordinates. Finally, this method is used to verify the simulation and field stargazing test.