Structural design and stiffness matching control of bionic variable stiffness joint for human–robot collaboration

Xiuli Zhang , Liqun Huang , Hao Niu
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Abstract

The physical compliance of interaction is an important requirement for safe and efficient collaboration between robots and humans, and the realization of human–robot compliance requires robot joints with variable stiffness similar to those of human joints. In this study, based on the tissue structure and driving principle of the human arm muscle ligament, a robot joint with variable stiffness is designed, consisting of an elastic belt and serial elastic actuator in parallel. The variable stiffness of the joint is realized by adjusting the tension length of the elastic belt. Surface electromyography (sEMG) signals of the human arm are used as the characterization quantity of joint stiffness to establish the pseudo-stiffness model of the elbow joint. The stiffness of the robot joints is adjusted in real-time to match the human arm stiffness based on the changes in sEMG signals of the human arm during operation. Real-time compliant interaction of human–robot collaboration is realized based on an end stiffness matching strategy. Additionally, to verify the effectiveness of the human joint stiffness matching-based compliance control strategy, a human–robot cooperative lifting experiment was designed. The bionic variable stiffness joint shows good stiffness adjustment, and the human–robot joint stiffness matching strategy based on human sEMG signals can improve the effectiveness and comfort of human–robot collaboration.

面向人机协作的仿生变刚度关节结构设计与刚度匹配控制
交互的物理顺应性是机器人和人类之间安全高效协作的重要要求,而实现人-机器人的顺应性需要具有与人类关节相似的可变刚度的机器人关节。本研究基于人类手臂肌肉韧带的组织结构和驱动原理,设计了一种变刚度机器人关节,该关节由弹性带和串行弹性致动器并联组成。接头的变刚度是通过调节弹性带的张力长度来实现的。利用人体手臂的表面肌电信号作为关节刚度的表征量,建立了肘关节的伪刚度模型。基于操作过程中人体手臂表面肌电信号的变化,实时调整机器人关节的刚度,以匹配人体手臂的刚度。基于端部刚度匹配策略,实现了人机协同的实时柔顺交互。此外,为了验证基于人-关节刚度匹配的柔顺控制策略的有效性,设计了人-机器人协同提升实验。仿生变刚度关节具有良好的刚度调节性能,基于人表面肌电信号的人机关节刚度匹配策略可以提高人机协作的有效性和舒适性。
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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CiteScore
1.80
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