引用本文:黄磊光 ,李耀通.梯度投影法应用于冗余机器人分解运动速度控制的新新方案[J].控制理论与应用,1998,15(2):184~189.[点击复制]
HU ANG Leiguang and LI Yaotong.A New Application of Gradient Projection Method to RMRC ControlKinematically Redundant Manipulators[J].Control Theory and Technology,1998,15(2):184~189.[点击复制]
梯度投影法应用于冗余机器人分解运动速度控制的新新方案
A New Application of Gradient Projection Method to RMRC ControlKinematically Redundant Manipulators
摘要点击 1002  全文点击 426  投稿时间:1996-10-22  修订日期:1997-04-14
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DOI编号  
  1998,15(2):184-189
中文关键词  梯度投影法  分解运动速度控制  冗余分解  并行计算  奇异值分解
英文关键词  gradient projection method  RMRC  redundancy resolution  parallel computation  singular value decomposition
基金项目  
作者单位
黄磊光 ,李耀通  
中文摘要
      本文讨论分解运动速度控制框架下将梯度投影法应用于冗余机器人控制的有关问题。实施梯度投影法的关键之一是自运动大小的选择。本文先分析了确定自运动大小的现有方法的优缺点,然后提出按机器人关节配置奇异程度来确定自运动优化因子的思想和方案。这种新方案与原有的动态优化方案相比,更有利于快速、并行的实施,文中给出了相应的计算思路,计算机仿真比较了该方案与固定优化因子方案的控制结果。
英文摘要
      Application of gradient projection method to control of redundant robots is discussed under the framework of resolved motion rate control (RMRC). One of key issues in applications of gradient projection method is determination of self-motion. In the paper, existing methods to determine self-motion are analyzed first. Then a new idea and relative scheme are proposed to decide self-motion optimization factor according to joint configuration of robots. This scheme has advantages over exist ones because it is more appropriate to implement gradient projection method fast and parallel. Such a parallel formulation is presented. Numerical simulation shows the efficiency of the scheme.