2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering. TENCOM '02. Proceedings.
DOI: 10.1109/tencon.2002.1182560
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Dynamic modeling, control and simulation of flexible dual-arm space robot

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Cited by 11 publications
(3 citation statements)
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“…However, due to the limitations of the Bezier function, the trajectory function cannot achieve optimal results. Wu et al [9] used the method of inserting interpolation points to describe the trajectory of spatial dual flexible manipulators, but there is no clear range for the insertion position of the interpolation points, which can easily lead to local interpolation point redundancy. In addition, the algorithm efficiency is relatively reduced.…”
Section: Introductionmentioning
confidence: 99%
“…However, due to the limitations of the Bezier function, the trajectory function cannot achieve optimal results. Wu et al [9] used the method of inserting interpolation points to describe the trajectory of spatial dual flexible manipulators, but there is no clear range for the insertion position of the interpolation points, which can easily lead to local interpolation point redundancy. In addition, the algorithm efficiency is relatively reduced.…”
Section: Introductionmentioning
confidence: 99%
“…The decoupled control equations for joint angles and elastic parts are obtained with the model-based nonlinear decoupling feedback control method. In [9], a tracking controller of a flexible dual-arm space robot has been proposed by inversion dynamic approach. In [10], the effect of payload collision on the dynamics and control when capturing an object has been proposed.…”
Section: Introductionmentioning
confidence: 99%
“…The validity of the proposed control schemes has been explained through the singular perturbation method. Licheng, Fuchun, Zengqi, and Wenjing (2002) worked on dynamic modeling, control and simulation of flexible dual arm space robot based on the Lagrange method and described the elastic deflection by the assumed mode method. The inversion dynamic control method is performed to solve the tracking problem.…”
Section: Introductionmentioning
confidence: 99%