DocumentCode :
3293562
Title :
Study on the coordinated relative navigation technology for clustered space robots
Author :
Zhai Guang ; Zhang Jing-rui ; Zhang Yao
Author_Institution :
Aerosp. Eng. Sch., Beijing Inst. of Technol., Beijing, China
fYear :
2013
fDate :
12-14 Dec. 2013
Firstpage :
1520
Lastpage :
1525
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.
Keywords :
Kalman filters; aerospace robotics; navigation; observability; robot dynamics; clustered space robots; coordinated navigation filtering algorithm; coordinated operating tasks; coordinated relative navigation filter; coordinated relative navigation strategy; coordinated relative navigation technology; linear Kalman filter theorem; linear time-invariant system observability analysis method; mathematical simulation; navigation data; relative dynamics; Extraterrestrial measurements; Filtering; Filtering algorithms; Navigation; Robot kinematics; Space vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Biomimetics (ROBIO), 2013 IEEE International Conference on
Conference_Location :
Shenzhen
Type :
conf
DOI :
10.1109/ROBIO.2013.6739682
Filename :
6739682
Link To Document :
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