Speaker
Mr
Chung-Sheng Lin
(Graduate Institute of Space Science, National Central University, Taiwan)
Description
High accuracy attitude knowledge is a crucial requirement to achieve a successful scientific mission. A star identification algorithm [Luo et al., 2015] is selected for a low-cost in-house star tracker to minimize development cost. To maximize recognition rates, a new method considering spherical geometry is developed to align one star to the center of an image taken by the star tracker instead of Rodrigues’ rotation formula. The method is first written in MATLAB in prototype level and now rewritten in C for feasibly porting to other platforms. The star tracker is planned to install on a hybrid sounding rocket for validation and finally on CubeSat missions in the future.
Reference:
Luo, L., Li Xu, and H. Zhang (2015), An autonomous star identification algorithm based on one-dimensional vector pattern for star sensors, Sensor, 15(7):16412-16429, DOI: 10.3390/s150716412.
Primary authors
Mr
Chi-Kuang Chao
(Graduate Institute of Space Science, National Central University, Taiwan)
Mr
Chung-Sheng Lin
(Graduate Institute of Space Science, National Central University, Taiwan)