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机构影响系数和并联机器人雅克比矩阵的研究
引用本文:孙立宁,于晖,祝宇虹,张秀峰,蔡鹤皋.机构影响系数和并联机器人雅克比矩阵的研究[J].哈尔滨工业大学学报,2002,34(6):810-814.
作者姓名:孙立宁  于晖  祝宇虹  张秀峰  蔡鹤皋
作者单位:哈尔滨工业大学机器人研究所,黑龙江,哈尔滨,150001
摘    要:基于刚体运动学的原理,对机构影响系数进行了研究,用运动坐标系和拟牵连速度的概念给出了机构速度影响系数求解公式,揭示了机构影响系数的物理意义,明确地论证了机构速度影响系数只与机构瞬时位姿有关而与机构的真实速度无关的结论。并将该方法用于并联机器人的运动学研究,由此而给出了求解并联机器人的雅克比矩阵的方法。

关 键 词:机构影响系数  并联机器人  拟牵连速度  运动坐标系  雅克比矩阵  刚体运动学
文章编号:0367-6234(2002)06-0810-05
修稿时间:2001年9月21日

Influence coefficient of mechanism and jacobia matrix of parallel robot
SUN Li-ning,YU Hui,ZHU Yu-hong,ZHANG Xiu-feng,CA He-gao Robot Research Institute,Harbin Institute of Technology,Harbin ,China.Influence coefficient of mechanism and jacobia matrix of parallel robot[J].Journal of Harbin Institute of Technology,2002,34(6):810-814.
Authors:SUN Li-ning  YU Hui  ZHU Yu-hong  ZHANG Xiu-feng  CA He-gao Robot Research Institute  Harbin Institute of Technology  Harbin  China
Affiliation:SUN Li-ning,YU Hui,ZHU Yu-hong,ZHANG Xiu-feng,CA1 He-gao Robot Research Institute,Harbin Institute of Technology,Harbin 150001,China
Abstract:The influence coefficient of mechanism is a very important concept in mechanic's since it deeply reflects the essence of mechanism and lots of analysis of mechanism become very simple and clear by the use of it. Based on principle of rigid body kinematics, the influence coefficient of mechanism is investigated and the formulation for solving influence coefficient of mechanism is given in the concept of moving coordinate system and pseudo convected velocity. The physical implication of influence coefficient of mechanism is revealed and the conclusion that the influence coefficient is just dependent on the configuration of mechanism and has nothing to do with actual velocity of mechanism is distinctly verified. By using the abovementioned the method, the study on the kinematics of parallel robot is implemented and the technique of deriving Jacobian matrix of parallel robot is given.
Keywords:parallel robot  pseudo convected velocity  moving coordinate system  influence coefficient  Jaco-bian matrix  
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