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A robust geometric method of singularity avoidance for kinematically redundant planar parallel robot manipulators

机译:一种坚固的几何方法,适用于运动冗余平面并联机器人机械手的奇异性避免

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Jacobian-based methods of singularity analysis are known to be unreliable when applied to kinematically redundant parallel robot manipulators, due to their potential to miss certain singularities and incorrectly identify others in the manipulator's workspace. In this paper, a geometric method of singularity avoidance for kinematically redundant planar parallel robot manipulators is presented, which firstly determines the manipulator's proximity to a singularity and then computes how the kinematically redundant degree(s) of freedom should be optimised for the given pose of the end-effector. The singularity analysis is conducted by examining the mechanism in terms of the instantaneous centres of rotation of its corresponding mobility one sub-mechanisms when all but one of the actuators are locked, where the manipulator is in a type-II singularity when these points either are indeterminable or coincide with one another, and an index, r(min), is introduced which describes the minimum normalised distance from such conditions being met. A predictor-corrector method is employed to compute the configuration for which r(min) is optimised, and is reachable without crossing a singularity. Finally, the advantages of the geometric method of singularity analysis are shown in comparison to traditional Jacobian-based methods when applied to kinematically redundant parallel robot manipulators. (c) 2020 Elsevier Ltd. All rights reserved.
机译:众所周知,基于Jacobian的奇异性分析方法是不可靠的,当应用于运动学冗余的并联机器人操纵器时,由于它们错过了某些奇点,并且错误地识别机械手的工作空间中的其他人,因此是不可靠的。在本文中,提出了一种用于运动学冗余平面并联机器人操纵器的奇点避免的几何方法,首先确定机械手对奇点的邻近,然后计算如何针对给定的姿势优化自由度的运动学冗余程度末端效应器。通过在所有除其中一个致动器被锁定时的瞬时旋转的瞬时旋转中心的瞬时旋转中心来进行奇异性分析,当其中一个致动器被锁定时,当这些点也是如此介绍彼此不确定的或重合,并介绍索引R(分钟),其描述了与所满足的这种条件的最小归一化距离。采用预测器校正方法来计算R(分钟)优化的配置,并且可以在不穿过奇异性的情况下到达。最后,与传统的Jacobian的方法相比,示出了奇点分析的几何方法的优点,当应用于运动学冗余的并联机器人操纵器时,与基于传统的雅可比的方法相比。 (c)2020 elestvier有限公司保留所有权利。

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