科研之友
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摘要
To get high precise attitude in high dynamic spacecraft, an adaptive federated Kalman filtering attitude estimation algorithm is proposed for a double-FOV(field of view) star sensor. To guarantee the robustness and fault-tolerance, the measurement error covariance is computed and updated in the federated filtering process. And the information sharing factors are determined adaptively based on the measurement error covariance. The simulation results show that the algorithm can yield high-accuracy attitudes in various situations. It is suitable to be used for high precise attitude determination while the spacecraft is in high dynamic maneuver stage.
- 出版日期2010
