An Autonomous Predicted Star Locations Algorithm for Star Sensor

Abstract:

The larger area threshold scan window in star image is scanned with conventional star tracking algorithm under large maneuvering of the vehicle. This results that the number of calculating angular separation between two stars is increased. So the update rate of star sensor is decreased and the feasibility of errors star locations is increased. So, an autonomous predicted star locations algorithm with high angle velocity is presented in this paper. Firstly, the actual star locations are obtained within the threshold scan window of corresponding ideal star locations calculated by last frame in the current star image. Secondly the current attitude information is calculated with the obtaining actual star locations. Thirdly, the next ideal attitude is calculated with current attitude and last attitude. Finally, the next ideal star locations are calculated with the next ideal attitude. At last the algorithm are tested not only simulation but also at night sky experiment with the angular speed maneuvering of aircraft is 5.208681°/s in 2013. And the algorithm has be applied star sensor of satellite GNC.

• Periodical: Applied Mechanics and Materials (Volumes 490-491)
• Pages: 1671-1675
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.490-491.1671
• Online since: January 2014
• Authors: Xun Jiang Zheng, Guang Jun Zhang, Bao Hua Li
• Keywords: Celestial Navigation, Predictive Star Centroiding Algorithm, Star Sensor, Star Tracking Algorithm

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