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author:

Hong, Zhao-Bin (Hong, Zhao-Bin.) [1] | Chen, Li (Chen, Li.) [2] (Scholars:陈力)

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Abstract:

Under the condition that the base position and attitude of the free-floating dual-arm space robot system are uncontrolled, the self-learning control problem based on fuzzy Gaussian function neural network is addressed. Since this space robot strictly abide by the rules of momentum conservation and angular momentum conservation, its dynamic equations exhibit a strong nonlinearity. When fuzzy control and neural network are combined, i.e., the fuzzy inference is realized by neural network, the fuzzy control obtains its self-learning ability. Then the self-teaming control scheme based on fuzzy Gaussian function neural network is designed for the dual-arm space robot system in joint space. Numerical simulation is carried out, and the effectiveness of the proposed method is validated.

Keyword:

Fuzzy control Fuzzy inference Fuzzy logic Fuzzy neural networks Intelligent robots Learning algorithms Learning systems Momentum Numerical methods

Community:

  • [ 1 ] [Hong, Zhao-Bin]Fuzhou University, Fuzhou 350002, China
  • [ 2 ] [Chen, Li]Fuzhou University, Fuzhou 350002, China

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Source :

Robot

ISSN: 1002-0446

CN: 21-1137/TP

Year: 2008

Issue: 5

Volume: 30

Page: 435-439

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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