基于非线性跟踪微分器的动态环境自适应阻抗控制

Chunfang Liu, Changfeng Li, Jun Yu Li
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引用次数: 0

摘要

在机器人的力和位置控制领域,阻抗控制被广泛采用。然而,在清洁、磨削等复杂的动态环境中,恒阻抗控制具有较大的跟踪误差,甚至可能损坏机器人的末端工具。为了解决这些问题,本文提出了一种基于非线性跟踪微分器的自适应变阻抗控制方法。具体而言,我们设计了基于比例积分(PI)控制的自适应速率,以实现复杂动态环境下的力和位置跟踪。同时,为了减小末端执行器仅与环境表面接触时产生的接触力冲击,设计了非线性跟踪微分器。实验表明,该方法有效地提高了接触操作的安全性和可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adaptive Impedance Control in Dynamic Environment Based on Nonlinear Tracking Differentiator
In the field of force and position control for robots, impedance control is prevalently employed. However, in complex dynamic environments such as cleaning and grinding, constant impedance control has a large tracking error and may even damage the robot’s end tool. In order to solve these problems, an adaptive variable impedance control method is presented based on a nonlinear tracking differentiator in this paper. Specifically, we design the adaptive rate based on Proportional Integral (PI) control to perform the tracking of force and position in complex dynamic environments. Meanwhile, a nonlinear tracking differentiator is developed to lessen the impulse of contact force generated when the end-effector just contacts with environmental surface. The experiments show that the presented approaches effectively improve the safety and reliability of the contact operations.
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