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Proposition of On-Line Velocity Scaling Algorithm for Task Space Trajectories

机译:任务空间轨迹在线速度缩放算法的命题

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A preliminary proposition of a trajectory scaling algorithm is presented. The new algorithm allows for planning a task space trajectory while taking into account the physical capabilities of the manipulator in terms of limits for joint space velocities and accelerations. Contrary to the classic scaling algorithm, which scales uniformly the whole trajectory and has to be executed before the motion starts, the proposed algorithm can be executed online and the scaling is applied only to the part of the planned trajectory. In the proposed algorithm, the planned motion is analyzed in a specified prediction horizon. Theoretical basics of the classic trajectory scaling method are adapted in such a way that the scaling commences only when the analysis detects a violation of joint velocity or acceleration constraints at the prediction horizon. In this paper, the underlying ideas are introduced and discussed, then the core formulae of the algorithms are detailed. An example of scaling a trajectory of a 2-DOF manipulator in the vicinity of a boundary singularity is presented.
机译:提出了轨迹缩放算法的初步命题。新算法允许规划任务空间轨迹,同时考虑到机械手的物理能力,以便在关节空间速度和加速度的限制方面。与经典缩放算法相反,该算法均匀地缩放整个轨迹并且必须在运动开始之前执行,所提出的算法可以在线执行,并且仅将缩放应用于计划轨迹的一部分。在所提出的算法中,在指定的预测地平线中分析计划的运动。经典轨迹缩放方法的理论基础是才能使得缩放仅在分析检测到预测地平线处的接合速度或加速度约束的侵犯时开始的方式。在本文中,引入和讨论了潜在的想法,然后详细说明了算法的核心公式。提出了在边界奇点附近缩放2-DOF操纵器的轨迹的示例。

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