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Singularity Analysis and Representation of 6DOF Parallel Robot Using Natural Coordinates

机译:使用自然坐标6dof并联机器人的奇异性分析和表示

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摘要

Singularity research is carried out. The problem, which is about six-dimensional parameters of position and orientation can not realize three-dimensional visualization for 6DOF parallel robot, has been solved. Firstly, according to the structural characteristics of the 6DOF parallel robot with the planar platform, the position and orientation of the mobile platform are described, respectively, and the six equations of forward kinematics are established by choosing the natural coordinates of three representative points as parameters. Then, the singularities of the 6DOF parallel robot with a planar platform are divided into input singularity and output singularity. Aiming at the output singularity, in combination with six constraint equations among the position vectors of three representative points, an analytical algorithm is proposed to express the coupling singularity of position and orientation and the analytical expression is derived. In further research, three kinds of output singularities are found, the spatial distribution of the output singular trajectory is determined, and a unified three-dimensional fully visualized description of six-dimensional coupling variables is realized for the first time. The problems of finding the singular orientation at a given position or the singular position at a given orientation are solved. The analysis of the singularity lays a solid foundation for the description of the three-dimensional complete visualization of a six-dimensional singularity-free workspace based on forward kinematics. What is more, it has great significance for both trajectory planning and control design of the parallel robot.
机译:进行奇点研究。已经解决了关于位置和方向的六维参数的问题,该问题可以无法实现6DOF并行机器人的三维可视化。首先,根据具有平面平台的6dof的并联机器人的结构特征,分别描述了移动平台的位置和取向,并且通过选择三个代表点作为参数的自然坐标来建立前向运动学的六个方程。然后,具有平面平台的6dof并联机器人的奇点被分为输入奇点和输出奇点。针对输出的奇点,在具有三个代表点的位置矢量中6个约束方程组合,分析算法来表达的位置和取向以及所述的解析表达式导出的耦合的奇点。在进一步的研究中,发现了三种输出奇点,确定了输出奇异轨迹的空间分布,并且首次实现了六维耦合变量的统一三维全部可视化描述。解决了在给定位置处找到奇异取向的问题或在给定取向处的奇异位置。基于前进运动学的三维奇点工作空间的三维完全可视化对奇异性的分析奠定了坚实的基础。更重要的是,对并联机器人的轨迹规划和控制设计具有重要意义。

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