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Adaptive hybrid position/force control of dual-arm cooperative manipulators with uncertain dynamics and closed-chain kinematics

机译:具有不确定动力学和闭链运动学的双臂协作机械手的自适应混合位置/力控制

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摘要

In this paper, a novel adaptive control for dual-arm cooperative manipulators is proposed to accomplish the hybrid position/force tracking in the presence of dynamic and closed-chain kinematic uncertainties. Self-convergent parameter estimation of the grasped object's centre of mass and contact force estimation are incorporated into this systematic scheme. Moreover, internal force and contact force tracking objectives are achieved simultaneously by incorporating into the position tracking formula with proper null-space projection and rotation transformation. Noisy force derivative signals are not required. This adaptive controller is mathematically derived based on Lyapunov stability analysis. Three sets of simulations corresponding to three different situations are presented to verify the effectiveness and superiority of the proposed controller. (C) 2017 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
机译:在本文中,提出了一种新颖的双臂协作机械手自适应控制,以在存在动态和闭链运动学不确定性的情况下完成混合位置/力跟踪。该系统方案结合了被抓物体质心的自收敛参数估计和接触力估计。此外,通过将具有适当的零空间投影和旋转变换的位置跟踪公式并入位置跟踪公式,可以同时实现内力和接触力跟踪目标。不需要噪声力导数信号。该自适应控制器是基于Lyapunov稳定性分析以数学方式得出的。提出了与三种不同情况相对应的三组仿真,以验证所提出控制器的有效性和优越性。 (C)2017富兰克林研究所。由Elsevier Ltd.出版。保留所有权利。

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  • 来源
    《Journal of the Franklin Institute》 |2017年第17期|7767-7793|共27页
  • 作者单位

    Harbin Inst Technol, State Key Lab Robot & Syst, Harbin, Heilongjiang, Peoples R China;

    Zhejiang Sci Tech Univ, Mechatron Inst, Hangzhou, Zhejiang, Peoples R China;

    Harbin Inst Technol, State Key Lab Robot & Syst, Harbin, Heilongjiang, Peoples R China;

    Harbin Inst Technol, State Key Lab Robot & Syst, Harbin, Heilongjiang, Peoples R China;

    Harbin Inst Technol, State Key Lab Robot & Syst, Harbin, Heilongjiang, Peoples R China;

    Harbin Inst Technol, State Key Lab Robot & Syst, Harbin, Heilongjiang, Peoples R China;

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  • 入库时间 2022-08-18 02:57:40

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