Adaptive Sliding Mode Force Tracking Approach for Unstructured Environment

Xingkun Wang, Zi-Cong Wei, Changhong Shi, Huaqing Huang, Haochen Zhang, Weirong Liu
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Abstract

This manuscript presents a novel force tracking scheme that focuses on solving the problem of compliant interaction during contact between robot and unstructured environment. Constant interaction force error compensation lacks adaptive capability for robot, which cannot effectively compensate for unstructured environment. Contrarily, the proposed adaptive variable impedance control method based on sliding mode structure (AVIS) can steadily track desired force during interaction process. Sliding mode control based on approximation law is used to adaptively modify damping and stiffness parameters of impedance control online, which continuously compensates for nonlinear dynamic system with high uncertainty. Stability and convergence of AVIS are proven. Experiments on diverse force interaction tasks show that stable and robust force tracking performance can be achieved by AVIS.
非结构化环境下的自适应滑模力跟踪方法
本文提出了一种新的力跟踪方案,重点解决了机器人与非结构化环境接触时的柔性交互问题。恒作用力误差补偿缺乏机器人自适应能力,不能有效补偿非结构化环境。相反,基于滑模结构(AVIS)的自适应变阻抗控制方法可以在交互过程中稳定地跟踪期望力。采用基于逼近律的滑模控制在线自适应修改阻抗控制的阻尼和刚度参数,对具有高不确定性的非线性动态系统进行持续补偿。证明了AVIS的稳定性和收敛性。在各种力交互任务上的实验表明,该方法可以实现稳定、鲁棒的力跟踪性能。
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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