Comparison and evaluation of attitude determination methods for the high-resolution satellite GF-7

In view of the current situation that there is less research on attitude determination in China in combination with the design characteristics of the attitude sensor carried by a certain type of satellite, and to ensure that the GF-7 satellite meets the engineering requirements of 1:10000 stereo mapping accuracy, a comparative test of attitude determination methods and the accuracy evaluation of test results are carried out in combination with the design characteristics of the attitude sensor carried by GF-7 satellite. Triad algorithm and quest algorithm are used to carry out multi star sensor data fusion test respectively; The extended Kalman filter model and the two-way filter overall weighting model are used to carry out the combined attitude determination test of star sensor and gyro, and the two-way filter overall weighting model is optimized. The experimental results show that compared with triad algorithm, quest algorithm can effectively reduce the periodic error of star sensor and provide stable star sensor fusion data for the combined attitude determination of star sensor and gyro; Compared with the two-way filter overall weighting model, the extended Kalman filter model can effectively suppress the high-frequency measurement noise of star sensor and the cumulative error of gyro drift error, and can ensure the engineering requirements of 1:10000 stereo mapping accuracy of GF-7 satellite.