2016
DOI: 10.1109/taes.2015.140752
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Hybrid modeling and analysis method for dynamic coupling of space robots

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Cited by 111 publications
(30 citation statements)
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“…In general, for space robots, there are two working modes: free-flying mode (both the position and attitude of the base are actively controlled) and free-floating mode (neither of them is controlled) [26]. Although the free-floating mode has the fuel-saving advantage, the dynamic coupling and singularity complicate the trajectory planning and control of free-floating space robots [27]. In consideration of the operational accuracy and safety for space tasks, the bases of free-flying space robots can be controlled to stay still.…”
Section: Space Robot Simulator Designmentioning
confidence: 99%
“…In general, for space robots, there are two working modes: free-flying mode (both the position and attitude of the base are actively controlled) and free-floating mode (neither of them is controlled) [26]. Although the free-floating mode has the fuel-saving advantage, the dynamic coupling and singularity complicate the trajectory planning and control of free-floating space robots [27]. In consideration of the operational accuracy and safety for space tasks, the bases of free-flying space robots can be controlled to stay still.…”
Section: Space Robot Simulator Designmentioning
confidence: 99%
“…whereq is the vector of the joint velocity (q = q 1 • • •q n T ) and J m the manipulator jacobian matrix which is defined in R 6×n [7]. As the base of the spacecraft is also moving the total kinematic equation of the end-effector of the space robot according to inertial reference frame ine expressed in the base B 0 is v e ω e = J bẋ0 + J mq (2) whereẋ 0 is the vector of the linear and angular velocity according to inertial reference frame ine expressed in the base…”
Section: Kinematicmentioning
confidence: 99%
“…An equivalent decomposition of the translation and rotation have been proposed by Xu in [7] to compute Joint-to-Base Coupling Factors. In order to deal with the range variation of each actuators, the following scaled jacobians will be used for analysis:…”
Section: Base Kinematic Indicesmentioning
confidence: 99%
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“…Since the position and attitude of the base are significantly influenced by the motion of manipulator, Wang and Xie (2012) demonstrated that the end-effector is not able to reach the desired pose due to unavoidable dynamic coupling between the end-effector and base. Therefore, designing a control system together with obtaining optimal configuration of a robot manipulator at the capturing moment seems to be necessary (Xu et al, 2016). Additionally, Lampariello et al (2011) showed that the long convergence time because of the required numerical iterations is the main drawback of optimizing joint trajectories in capture process.…”
Section: Introductionmentioning
confidence: 99%