DocumentCode :
2040470
Title :
Cartesian path planning for base attitude adjustment of space robot
Author :
Minghe Jin ; Cheng Zhou ; Yechao Liu ; Hong Liu
Author_Institution :
State Key Lab. of Robot. & Syst., Harbin Inst. of Technol., Harbin, China
fYear :
2015
fDate :
2-5 Aug. 2015
Firstpage :
582
Lastpage :
587
Abstract :
This paper presents a novel Cartesian path planning for space manipulator to achieve base (satellite) attitude adjustment and Cartesian task. The base attitude adjustment by the way of the movement of manipulator will save propellant compared with conventional attitude control system. A task-priority Reaction Null-space control method is applied to achieve the primary task to adjust attitude and secondary task to accomplish Cartesian task. Furthermore, The algorithm singularity is eliminated in the proposed algorithm compared with conventional Reaction Null-space algorithm and extended Jacobian algorithm. And the varied damping factors are introduced to avoid dynamics singularity. The simulation platform of the space robot control system based on Matlab/Simulink is built. The simulation results demonstrate the validity and feasibility of the proposed Cartesian path planning algorithm.
Keywords :
aerospace robotics; attitude control; manipulator dynamics; manipulator kinematics; path planning; Cartesian path planning; Matlab; Simulink; attitude control system; base attitude adjustment; extended Jacobian algorithm; manipulator movement; space manipulator; space robot; task-priority reaction null-space control method; varied damping factors; Aerospace electronics; Attitude control; Heuristic algorithms; Jacobian matrices; Manipulator dynamics; attitude adjustment; path planning; singularity avoidance; space robot; task priority;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronics and Automation (ICMA), 2015 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-7097-1
Type :
conf
DOI :
10.1109/ICMA.2015.7237550
Filename :
7237550
Link To Document :
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