冗余串联机械手逆位置运动学与动力学

IF 2.2 4区 计算机科学 Q2 ENGINEERING, MECHANICAL
Edward J. Haug
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引用次数: 0

摘要

摘要利用冗余序列机械臂逆位置运动学映射,定义了一个新的机械臂操作空间可微流形和相应的一组良好定姿的机械臂动力学微分方程。通过对传统广义速度反方法求解冗余度问题的不足进行分析,并通过数值算例说明广义速度反方法与冗余度系列机械臂的运动学问题不兼容。给出了一个可微流形的逆位置运动映射,该流形由输入空间坐标或操作空间坐标参数化。与广义逆速度映射相比,逆位置映射的微分产生的逆速度映射是一个总微分,因此避免了所识别的缺陷。第二次微分产生逆加速度映射,无需特别推导,即可获得冗余机械臂动力学的良好定姿操作空间常微分方程系统,该系统等效于多体动力学方程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Redundant Serial Manipulator Inverse Position Kinematics and Dynamics
Abstract A redundant serial manipulator inverse position kinematic mapping is employed to define a new manipulator operational space differentiable manifold and an associated system of well posed differential equations of manipulator dynamics. A review of deficiencies in the conventional generalized inverse velocity approach to manipulator redundancy resolution and a numerical example show that the generalized inverse velocity approach is incompatible with the kinematics of redundant serial manipulators. An inverse position kinematic mapping is presented with a differentiable manifold that is parameterized by either input or operational space coordinates. Differentiation of the inverse position mapping yields an inverse velocity mapping that is a total differential, in contrast with generalized inverse velocity mappings, hence avoiding the deficiencies identified. A sec-ond differentiation yields an inverse acceleration mapping that is used, without ad-hoc derivation, to obtain a system of well posed operational space ordinary differential equations of redundant manipulator dynamics that are equivalent to the equations of multibody dynamics.
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来源期刊
CiteScore
5.60
自引率
15.40%
发文量
131
审稿时长
4.5 months
期刊介绍: Fundamental theory, algorithms, design, manufacture, and experimental validation for mechanisms and robots; Theoretical and applied kinematics; Mechanism synthesis and design; Analysis and design of robot manipulators, hands and legs, soft robotics, compliant mechanisms, origami and folded robots, printed robots, and haptic devices; Novel fabrication; Actuation and control techniques for mechanisms and robotics; Bio-inspired approaches to mechanism and robot design; Mechanics and design of micro- and nano-scale devices.
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