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author:

Hong, Z. (Hong, Z..) [1] | Chen, L. (Chen, L..) [2] (Scholars:陈力)

Indexed by:

Scopus PKU CSCD

Abstract:

A sliding mode-neural network scheme based on hybrid trajectory was proposed to track the hybrid trajectory of a space flexible manipulator, meanwhile, the flexible vibration can be suppressed. In order to actively suppress the flexible vibration, the hybrid trajectory for sliding mode-neural network controller was generated by using the virtual control force concept, which reflected the flexible variables as well as the rigid desired trajectories. Based on the hybrid trajectory, the new sliding mode-neural network control can be designed. Simulations results confirm that the proposed control scheme can dominates the trajectory tracking the coordinated motion and actively suppress the vibrations in the presence of parameter uncertainty.

Keyword:

Flexible vibration suppression; Hybrid trajectory; Sliding mode-neural network control; Space flexible manipulator; Unknown parameter

Community:

  • [ 1 ] [Hong, Z.]Fuzhou University, Fuzhou, 350108, China
  • [ 2 ] [Chen, L.]Fuzhou University, Fuzhou, 350108, China

Reprint 's Address:

  • 洪昭斌

    [Hong, Z.]Fuzhou University, Fuzhou, 350108, China

Email:

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Source :

China Mechanical Engineering

ISSN: 1004-132X

CN: 42-1294/TH

Year: 2011

Issue: 2

Volume: 22

Page: 138-143

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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