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author:

Huang, Xiaoqin (Huang, Xiaoqin.) [1] | Chen, Li (Chen, Li.) [2] (Scholars:陈力)

Indexed by:

EI Scopus PKU CSCD

Abstract:

Dynamics control of free-floating space robot systems with joint torque output dead-zones, friction and external disturbances were discussed. A recurrent CMAC and an adaptive dead-zone compensator were designed to track the desired trajectories of two joints. Friction double observers were designed to estimate the unmeasurable internal friction states, and dead-zone precompensator was designed to eliminate the impacts of joint torque output dead-zones. The recurrent cerebellar neural network model was applied to approximate uncertainty terms of dynamics equation including friction errors and external disturbances. The results of simulation show the efficiency of the proposed control method. © 2018, China Mechanical Engineering Magazine Office. All right reserved.

Keyword:

Brain Friction Recurrent neural networks Robots

Community:

  • [ 1 ] [Huang, Xiaoqin]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350116, China
  • [ 2 ] [Huang, Xiaoqin]Collaborative Innovation Center of High End Equipment Manufacturing in Fujian, Fuzhou University, Fuzhou; 350116, China
  • [ 3 ] [Chen, Li]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350116, China
  • [ 4 ] [Chen, Li]Collaborative Innovation Center of High End Equipment Manufacturing in Fujian, Fuzhou University, Fuzhou; 350116, China

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Source :

China Mechanical Engineering

ISSN: 1004-132X

CN: 42-1294/TH

Year: 2018

Issue: 2

Volume: 29

Page: 211-217

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 4

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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