Adaptive position/force control of robot manipulators with force estimation

M. Homayounzade, M. Keshmiri
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引用次数: 4

Abstract

In this paper, we design an adaptive position/force controller for robot manipulators during constrained motion. The proposed controller can compensate for parametric uncertainties while only requiring the measurements of the position and velocity of robot arms, but not the measurements of forces at contact points. A disturbance observer is designed to estimate the constraint forces. The control method results in semiglobal asymptotic tracking performance for the joint position and bounded tracking performance for the interaction force, also the controller provides proper estimate of constraint forces. It is shown mathematically that the error of tracking desired constraint force can be decreased sufficiently by increasing the control gains. The effectiveness of the proposed method is investigated through the numerical simulation for a two-degrees-of-freedom robot manipulator acting on a horizontal worktable.
基于力估计的机器人机械手自适应位置/力控制
在本文中,我们设计了一种机器人在受限运动时的自适应位置/力控制器。该控制器可以补偿参数的不确定性,同时只需要测量机械臂的位置和速度,而不需要测量接触点的力。设计了扰动观测器来估计约束力。该控制方法对关节位置具有半全局渐近跟踪性能,对相互作用力具有有界跟踪性能,并提供了适当的约束力估计。数学上表明,增大控制增益可以充分减小跟踪期望约束力的误差。通过对水平工作台上的二自由度机械臂的数值仿真,验证了所提方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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