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author:

Li, Chen (Li, Chen.) [1] (Scholars:陈力) | Jie, Liang (Jie, Liang.) [2]

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EI Scopus

Abstract:

In this paper, aiming at the case of free-floating space manipulator system with uncertain inertial parameters, when the case of the attitude of base controlled and its location uncontrolled, we discuss trajectory tracking control of the dynamic models in inertia space. Combined the relationship of the linear momentum conversation and the Lagrange approach, the full-controlled dynamic equation and the Jacobian relation of free floating space manipulator are established. Base on above results proposed, a composite scheme of a computed torque controller plus a fuzzy compensator is proposed to track desired trajectories in inertial space. Namely, it'll make up impact of system's unknown parameters to computed torque controller through fuzzy adaptive compensation system controller, to ensure the whole closed-loop control system's asymptotic stability with the existence of unknown parameters. The mentioned control scheme can effectively control both the base's attitude and the end-effector of space manipulator to track the desired trajectory in inertia space. It has obvious advantages that with needless feedback and measured the position, velocity and acceleration of the floating base, at the same time, no any requirements for the dynamic equations of the system are linearly dependent on inertial parameters. A two planar space-based manipulator system is simulated to verify the proposed control scheme.

Keyword:

Adaptive control systems Asymptotic stability Closed loop control systems Controllers Manipulators Robotic arms Spacecraft equipment Torque control Trajectories Uncertainty analysis

Community:

  • [ 1 ] [Li, Chen]Department of Mechanical Engineering, Fuzhou University, Fujian, China
  • [ 2 ] [Jie, Liang]Department of Mechanical Engineering, Fuzhou University, Fujian, China

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Year: 2008

Volume: 7

Page: 4476-4483

Language: English

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WoS CC Cited Count:

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ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 4

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