基于弹簧加载倒立摆模型的肌肉骨骼双足下肢机器人行走控制器设计与实验验证。

IF 2.9 Q2 ROBOTICS
Frontiers in Robotics and AI Pub Date : 2024-11-05 eCollection Date: 2024-01-01 DOI:10.3389/frobt.2024.1449721
Yiqi Li, Yelin Jiang, Koh Hosoda
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引用次数: 0

摘要

在 PAM(麦基本型气动人工肌肉)驱动双足机器人的研究中,研究 PAM 的内在特性是否有助于实现稳定的机器人运动至关重要。此外,确定这种贡献是否可以通过机器人的机械结构与 PAM 之间的相互作用来实现也至关重要。在之前的研究中,根据弹簧加载倒立摆(SLIP)模型的原理设计了一种 PAM 驱动的双足肌肉骨骼机器人。该机器人的特点是腿部惯性小,质量集中在髋关节附近。然而,值得注意的是,该机器人的设计原则只是基于 SLIP 模型,并没有根据该模型专门设计控制器。为了解决这个问题,本研究根据所开发机器人的特点,同样基于 SLIP 模型设计了一个 PAM 控制器。这种基于模型的控制器在机器人行走运动过程中调节踝关节屈曲 PAM,以调整地面反作用力的方向。结果表明,所提出的控制器能在行走过程中有效地将腿部地面反作用力导向质量中心。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Controller design and experimental validation of walking for a musculoskeletal bipedal lower limb robot based on the spring-loaded inverted pendulum model.

In the study of PAM (McKibben-type pneumatic artificial muscle)-driven bipedal robots, it is essential to investigate whether the intrinsic properties of the PAM contribute to achieving stable robot motion. Furthermore, it is crucial to determine if this contribution can be achieved through the interaction between the robot's mechanical structure and the PAM. In previous research, a PAM-driven bipedal musculoskeletal robot was designed based on the principles of the spring-loaded inverted pendulum (SLIP) model. The robot features low leg inertia and concentrated mass near the hip joint. However, it is important to note that for this robot, only the design principles were based on the SLIP model, and no specialized controller was specifically designed based on the model. To address this issue, based on the characteristics of the developed robot, a PAM controller designed also based on the SLIP model is developed in this study. This model-based controller regulates ankle flexion PAM to adjust the direction of the ground reaction force during robot walking motion. The results indicate that the proposed controller effectively directs the leg ground reaction force towards the center of mass during walking.

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来源期刊
CiteScore
6.50
自引率
5.90%
发文量
355
审稿时长
14 weeks
期刊介绍: Frontiers in Robotics and AI publishes rigorously peer-reviewed research covering all theory and applications of robotics, technology, and artificial intelligence, from biomedical to space robotics.
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