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author:

Chen Li (Chen Li.) [1] (Scholars:陈力) | Tang Xiaoteng (Tang Xiaoteng.) [2]

Indexed by:

CPCI-S EI Scopus

Abstract:

In this paper, the kinematics and dynamics of free-floating space robot system with dual-arms are analyzed, and it is shown that the Jacobian matrix and the dynamic equations of the system are nonlinearly dependent on inertial parameters. In order to overcome the above problems, the system is modeled as under-actuated robot system, and the idea of augmentation approach is adopted. It is demonstrate that the dynamic equations of the system can be linearly dependent on a group of inertial parameters. Based on the results, a robust variable structure control scheme for free-floating space robot system with dual-arms with uncertain inertial parameters to track the desired trajectory in joint space is proposed, and a planar space robot system with dual arms is simulated to verify the proposed control scheme. The advantage of the control scheme proposed is that it requires neither measuring the position, velocity and acceleration of the floating base with respect to the orbit nor controlling the position and attitude angle of the floating base. In addition to this advantage, it is computationally simple, because we choose to make the controller robust to the uncertain inertial parameters rather than explicitly estimating them online.

Keyword:

augmentation approach robust variable structure control space robot system with dual-arms

Community:

  • [ 1 ] [Chen Li]Fuzhou Univ, Coll Mech Engn, Fuzhou 350002, Fujian, Peoples R China
  • [ 2 ] [Tang Xiaoteng]Fuzhou Univ, Coll Mech Engn, Fuzhou 350002, Fujian, Peoples R China

Reprint 's Address:

  • 陈力

    [Chen Li]Fuzhou Univ, Coll Mech Engn, Fuzhou 350002, Fujian, Peoples R China

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Source :

PROCEEDINGS OF THE 26TH CHINESE CONTROL CONFERENCE, VOL 2

Year: 2007

Page: 294-,

Language: Chinese

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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