Title
Singularity-Free Trajectory Planning of Free-Floating Multiarm Space Robots for Keeping the Base Inertially Stabilized
Abstract
In a multiarm space robotic system, one or more manipulators can be used to stabilize the base through counteracting the disturbance caused by other manipulators performing on-orbital tasks. However, singularities are inevitably present in the traditional methods based on differential kinematics solutions. In this paper, we propose a singularity-free trajectory planning method to simultaneously keep the attitude and centroid position of the base stabilized in inertial space; the balance arms are also designed. First, we derive the coupling motion equations of a free-floating multiarm space robotic system. Then, the singularity problems are theoretically analyzed, and the theoretical basis for singularity-free trajectory planning is established. Second, we decompose the six degrees of freedom pose (attitude and position) stabilization problem into two 3DOF subproblems related to attitude and position balancing. We then design two robotic arms: 1) a position balance arm and 2) an attitude balance arm, to maintain the base centroid position and attitude, respectively. Third, we plan the coordinated trajectories of the two balance arms according to holonomic and nonholonomic constraints. As long as the desired motion is not beyond its balance ability, the reasonable joint variables can always be determined without encountering a singularity problem. Finally, the proposed methods are verified using simulations of typical on-orbital missions, including joint trajectory tracking and target capturing.
Year
DOI
Venue
2019
10.1109/TSMC.2017.2693232
IEEE Transactions on Systems, Man, and Cybernetics
Keywords
Field
DocType
Robot kinematics,Manipulators,Aerospace electronics,Trajectory,Planning,Kinematics
Robotic spacecraft,Computer science,Control theory,Singularity,Trajectory planning
Journal
Volume
Issue
ISSN
49
12
2168-2216
Citations 
PageRank 
References 
3
0.37
0
Authors
5
Name
Order
Citations
PageRank
Xu Wenfu111432.88
Meng Deshan2336.74
Liu HD31411.90
Wang Xueqian43519.00
Liang Bin523954.58