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针对三轴稳定卫星,研究基于星敏感器双矢量观测信息的卫星高精度姿态确定算法。建立了姿态运动学模型、敏感器测量模型、QUEST算法模型和扩展卡尔曼滤波(EKF)模型。对比分析了QUEST算法以及星敏感器与陀螺组合的扩展卡尔曼滤波(EKF)算法的定姿精度。通过数学仿真,表明基于星敏感器和陀螺的扩展卡尔曼滤波组合姿态确定算法具有更高的定姿精度。
For the three-axis stable satellite, a high-precision satellite attitude determination algorithm based on double-vector observation information of star sensor is studied. Attitude kinematics model, sensor measurement model, QUEST algorithm model and Extended Kalman Filter (EKF) model are established. The accuracy of the QUEST algorithm and the EKF algorithm of star sensor and gyroscope are compared and analyzed. Through mathematical simulation, it is shown that the combined attitude determination algorithm based on star sensor and gyro with extended Kalman filter has higher attitude accuracy.