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On the Optimal Design of Cable Driven Parallel Robot with a Prescribed Workspace for Upper Limb Rehabilitation Tasks

机译:具有指定工作区的上肢肢体康复任务的电缆驱动并联机器人的优化设计

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摘要

This paper deals with an optimization approach to design a cable driven parallel robot intended for upper limb rehabilitation tasks.The cable driven parallel robots have characteristics that make them best candidate for rehabilitation exercise purposes such as large workspace,re-configurable architecture,portability and cost effectiveness.Here,both the cable tensions that are needed to move a wristband as well as the workspace need to be carefully optimized for fulfilling the prescribed operation tasks.A specific case of study is addressed in this work by referring to LARM wire driven exercising device (LAWEX),which is applied to upper limbs exercises.To that end,a motion capture system is used to collect quantitative data on the prescribed workspace of a human upper limb.A specific optimization problem is settled up for considering combining two optimization goals,namely,the smallest robot size reaching a prescribed workspace and the minimum cable tension distributions.A sequence of optimization steps is defined using Genetic Algorithms (GAs)applied to LAWEX robot.The proposed objective function is based on a mathematical formulation of the power of a point with respect to bounding surfaces in combination with a performance index to show the distributions of the minimum cable tensions.
机译:本文研究一种优化方法来设计用于上肢康复任务的电缆驱动并行机器人。电缆驱动并行机器人具有使其成为康复锻炼目的的最佳选择的特性,例如工作空间大,可重新配置的架构,便携性和成本此处,移动腕带和工作区所需的电缆张力都需要仔细优化,以完成规定的操作任务。本工作中的一个具体研究案例是通过参考LARM线驱动锻炼设备解决的(LAWEX),用于上肢锻炼。为此,运动捕捉系统用于在人体上肢指定工作空间上收集定量数据。针对特定的优化问题,考虑了两个优化目标,从而解决了该问题,即达到指定工作空间的最小机器人尺寸和最小电缆张力分布。使用适用于LAWEX机器人的遗传算法(GA)定义优化步骤。提出的目标函数基于点相对于边界曲面的幂的数学公式并结合性能指标以显示最小电缆的分布紧张局势。

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  • 来源
    《仿生工程学报(英文版)》 |2019年第3期|503-513|共11页
  • 作者单位

    Department of GMSC, Pprime Institute, CNRS-University of Poitiers-ENSMA-UPR 3346, Poitiers, France;

    Department of Mechanical, Energy and Management Engineering, University of Calabria, 87036 Rende, Italy;

    CESTER, Technical University of Cluj-Napoca, Muncii Ave.103-105, 400641 Cluj-Napoca, Romania;

    Department of GMSC, Pprime Institute, CNRS-University of Poitiers-ENSMA-UPR 3346, Poitiers, France;

  • 收录信息 中国科学引文数据库(CSCD);
  • 原文格式 PDF
  • 正文语种 eng
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  • 入库时间 2022-08-19 04:25:36
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