Abstract
A coordinated relative navigation strategy is proposed in this paper. Firstly, the relative dynamics of clustered space robots are presented. Then, based on the linear Kalman filter theorem, different coordinated relative navigation filters are designed, and a linear time-invariant system observability analysis method is used to qualitatively evaluate the performance of the corresponding filters. Finally, mathematical simulation is performed to verify the performance of those coordinated navigation filtering algorithms that have been considered to be superior to the rest of algorithms. The simulation results verify the high stability and high accuracy of the proposed method of coordinated relative navigation, which could be used to provide highly accurate navigation data for the coordinated operating tasks of clustered space robots.
Original language | English |
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Pages | 1520-1525 |
Number of pages | 6 |
DOIs | |
Publication status | Published - 2013 |
Event | 2013 IEEE International Conference on Robotics and Biomimetics, ROBIO 2013 - Shenzhen, China Duration: 12 Dec 2013 → 14 Dec 2013 |
Conference
Conference | 2013 IEEE International Conference on Robotics and Biomimetics, ROBIO 2013 |
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Country/Territory | China |
City | Shenzhen |
Period | 12/12/13 → 14/12/13 |