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  • 标题:Manipulability Optimization for Coordinated Motion Control of Multi-arm Space Robots
  • 本地全文:下载
  • 作者:Ruonan Xu ; Jianjun Luo ; Mingming Wang
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2020
  • 卷号:53
  • 期号:2
  • 页码:9853-9858
  • DOI:10.1016/j.ifacol.2020.12.2690
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractBy maximizing manipulability, the coordination of multi-arm can be enhanced. In this paper, a method to optimize the manipulability index of cooperative manipulation for a free-floating multi-arm space robot is proposed. Firstly, the manipulability optimization is formulated as a nonlinear optimize problem at position level which is hard to solve online. By redefining constraint equation and manipulability index, it is transformed to a constrained quadratic program problem at velocity level incorporating joint velocity physical limits, which generates joint velocity commands to control the multi-arm to complete predefined tasks. Owing to dynamic coupling effects and closed chain constraints formed by cooperative manipulation, the manipulability index is more complex than that of fixed-base or mobile-base manipulators. Hence, the gradient of the index is approximated by numerical algorithms. Simulations based on a dual-arm space robot model are conducted and the results prove that the proposed method is efficient to optimize the manipulability index.
  • 关键词:Keywordsmotion controlspace robotsmulti-armcooperative manipulationmanipulability optimization
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