Indexed by:
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:
Reprint 's Address:
Email:
Version:
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
Affiliated Colleges: