Residential College | false |
Status | 已發表Published |
The identification of joint parameters for modular robots using fuzzy theory and a genetic algorithm | |
Li Y.; Liu X.; Peng Z.; Liu Y. | |
2002 | |
Source Publication | Robotica |
ISSN | 2635747 |
Volume | 20Issue:5Pages:509 |
Abstract | This paper discusses a technique for identifying the joint parameters of a modular robot in order to study the dynamic characteristics of the whole structure and to realise dynamic control. A method for identifying the joint parameters of the structure applying fuzzy logic combined with a genetic algorithm has been studied using a 9-DOF modular redundant robot. A Genetic Algorithm was used in the fuzzy optimisation, which helped to avoid converging to locally optimal solutions and made the results identified much more reasonable. The joint parameters of a 9-DOF modular redundant robot have been identified. |
Keyword | Modal Analysis Modular Robots Parameter Identification Vibration Control |
DOI | 10.1017/S0263574702004277 |
URL | View the original |
Language | 英語English |
WOS ID | WOS:000178735300004 |
The Source to Article | Scopus |
Scopus ID | 2-s2.0-0036709037 |
Fulltext Access | |
Citation statistics | |
Document Type | Journal article |
Collection | University of Macau |
Recommended Citation GB/T 7714 | Li Y.,Liu X.,Peng Z.,et al. The identification of joint parameters for modular robots using fuzzy theory and a genetic algorithm[J]. Robotica, 2002, 20(5), 509. |
APA | Li Y.., Liu X.., Peng Z.., & Liu Y. (2002). The identification of joint parameters for modular robots using fuzzy theory and a genetic algorithm. Robotica, 20(5), 509. |
MLA | Li Y.,et al."The identification of joint parameters for modular robots using fuzzy theory and a genetic algorithm".Robotica 20.5(2002):509. |
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