终极被动:人机物理交互的平衡性能和稳定性

IF 9.4 1区 计算机科学 Q1 ROBOTICS
Xinliang Guo;Zheyu Liu;Vincent Crocher;Ying Tan;Denny Oetomo;Arno H. A. Stienen
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引用次数: 0

摘要

由于触觉交互在制造业、医疗保健和各种工业任务中有着广泛的应用,它在人机物理交互(pHRI)中是至关重要的。在人机交互过程中,始终需要一个稳定的触觉界面。基于无源性的方法作为稳定性的充分条件被广泛应用于控制设计中。然而,这是一种保守的方法,因此牺牲性能来保持稳定性。本文提出了一个新的概念来描述一个最终被动系统,它可以在稳态下实现能量的有界性。然后提出了所谓的最终无源控制器(UPC)。该算法在保持理想性能的标称模式和需要保持稳定的保守模式之间切换系统。对两个机器人系统(一个基于导纳,一个基于阻抗)的实验评估表明,与现有方法相比,所提出的框架具有潜在的兴趣。结果表明,UPC有可能在触觉性能和系统稳定性之间找到更积极的权衡,同时仍然提供稳定性保证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ultimate Passivity: Balancing Performance and Stability in Physical Human–Robot Interaction
Haptic interaction is critical in physical human–robot Interaction (pHRI), given its wide applications in manufacturing, medical and healthcare, and various industry tasks. A stable haptic interface is always needed while the human operator interacts with the robot. Passivity-based approaches have been widely utilized in the control design as a sufficient condition for stability. However, it is a conservative approach which therefore sacrifices performance to maintain stability. This article proposes a novel concept to characterize an ultimately passive system, which can achieve the boundedness of the energy in the steady-state. A so-called ultimately passive controller (UPC) is then proposed. This algorithm switches the system between a nominal mode for keeping desired performance and a conservative mode when needed to remain stable. An experimental evaluation on two robotic systems, one admittance-based and one impedance-based, demonstrates the potential interest of the proposed framework compared to existing approaches. The results demonstrate the possibility of UPC in finding a more aggressive tradeoff between haptic performance and system stability, while still providing a stability guarantee.
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来源期刊
IEEE Transactions on Robotics
IEEE Transactions on Robotics 工程技术-机器人学
CiteScore
14.90
自引率
5.10%
发文量
259
审稿时长
6.0 months
期刊介绍: The IEEE Transactions on Robotics (T-RO) is dedicated to publishing fundamental papers covering all facets of robotics, drawing on interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, and beyond. From industrial applications to service and personal assistants, surgical operations to space, underwater, and remote exploration, robots and intelligent machines play pivotal roles across various domains, including entertainment, safety, search and rescue, military applications, agriculture, and intelligent vehicles. Special emphasis is placed on intelligent machines and systems designed for unstructured environments, where a significant portion of the environment remains unknown and beyond direct sensing or control.
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