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提出了一种实时的姿态估计算法,即预测Kalman滤波算法.该算法能够只利用星敏感器所提供的矢量观测信息来准确地估计卫星的三轴运动姿态,算法的实现包括力矩模型误差预测和姿态估计两步.预测Kalman滤波算法具有良好的滤波性能,不仅估计精度高而且鲁棒性能强,这一点已通过仿真测试得到了验证.
A real-time attitude estimation algorithm is proposed, which is Kalman filtering algorithm.The algorithm can estimate the three-axis attitude of the satellite accurately by using only the vector observation information provided by the star sensor.The algorithm includes the torque model error prediction and Attitude estimation two steps.Prediction Kalman filtering algorithm has good filtering performance, not only high accuracy and robust robustness, which has been verified by simulation tests.