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An analytical inverse kinematics solution with joint limits avoidance of 7-DOF anthropomorphic manipulators without offset

机译:具有关节限制的分析逆运动学溶液,避免了7-DOF拟方针操纵器而不偏移

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摘要

The inverse solution calculation speed and the configuration control are very important for anthropomorphic manipulators with 7 degree-of-freedom (DOF). In order to realize the combined control of global arm configuration manifolds and local self-motion of 7-DOF anthropomorphic manipulators without offset, an analytical inverse kinematics solution method is proposed in this paper. By defining a new arm reference plane for 7-DOF anthropomorphic manipulators, it uses arm angle to deal with local self-motion and orientation control to deal with global arm configuration manifolds. All possible inverse kinematics solutions for target pose can be intuitively expressed with the assistance of the parameters of arm angle and orientation control. Meanwhile, the corresponding singularity is also taken into account and a detection metric is provided. Furthermore, the problem of joint limits avoidance is mapped to the selection of arm angle in null space, and the Self-Adaptive Particle Swarm Optimization algorithm is introduced to obtain the optimal arm angle that can maximize the avoidance of joint limits. Simulation results show the proposed method has such advantages as fast calculation speed, high precision and high stability. (C) 2020 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
机译:逆解决方案计算速度和配置控制对于具有7个自由度(DOF)的拟人操纵器非常重要。为了实现全局臂配置歧管的组合控制和7-DOF拟方针操纵器的局部自动运动而不偏移,提出了本文的分析逆运动学溶液方法。通过为7-DOF拟人手动机械手定义新的臂参考平面,它使用臂角来处理局部自动运动和方向控制以处理全局臂配置歧管。目标姿势的所有可能的逆运动学解决方案可以在臂角度和方向控制的参数的帮助下直观地表达。同时,还考虑了相应的奇点,并提供了检测度量。此外,将关节限制避免的问题映射到空空间中的臂角的选择,并引入自适应粒子群优化算法以获得最佳臂角度,可以最大化避免关节限制。仿真结果表明,所提出的方法具有快速计算速度,高精度和高稳定性的优点。 (c)2020富兰克林学院。 elsevier有限公司出版。保留所有权利。

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  • 来源
    《Journal of the Franklin Institute》 |2021年第2期|1252-1272|共21页
  • 作者单位

    Beihang Univ Robot Inst Beijing 100191 Peoples R China;

    Beihang Univ Robot Inst Beijing 100191 Peoples R China;

    Beihang Univ Robot Inst Beijing 100191 Peoples R China;

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  • 正文语种 eng
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