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用于气动人工肌肉驱动的多连杆机器人的自适应固定时间快速终端滑模控制器设计

Design of an Adaptive Fixed-Time Fast Terminal Sliding Mode Controller for Multi-Link Robots Actuated by Pneumatic Artificial Muscles.

作者信息

Khajehsaeid Hesam, Soltani Ali, Azimirad Vahid

机构信息

Warwick Manufacturing Group, The University of Warwick, Coventry CV4 7EQ, UK.

School of Electronics and Computer Science, University of Southampton, Southampton SO17 1BJ, UK.

出版信息

Biomimetics (Basel). 2025 Jan 8;10(1):37. doi: 10.3390/biomimetics10010037.

Abstract

Pneumatic artificial muscles (PAMs) are flexible actuators that can be contracted or expanded by applying air pressure. They are used in robotics, prosthetics, and other applications requiring flexible and compliant actuation. PAMs are basically designed to mimic the function of biological muscles, providing a high force-to-weight ratio and smooth, lifelike movement. Inflation and deflation of these muscles can be controlled rapidly, allowing for fast actuation. In this work, a continuum mechanics-based model is developed to predict the output parameters of PAMs, like actuation force. Comparison of the model results with experimental data shows that the model efficiently predicts the mechanical behaviour of PAMs. Using the actuation force-air pressure-contraction relation provided by the proposed mechanical model, a dynamic model is derived for a multi-link PAM-actuated robot manipulator. An adaptive fixed-time fast terminal sliding mode control is proposed to track the desired joint position trajectories despite the model uncertainties and external disturbances with unknown magnitude bounds. Furthermore, the performance of the proposed controller is compared with an adaptive backstepping fast terminal sliding mode controller through numerical simulations. The simulations show faster convergence and more precise tracking for the proposed controller.

摘要

气动人工肌肉(PAMs)是一种柔性致动器,通过施加气压可实现收缩或扩张。它们应用于机器人技术、假肢以及其他需要柔性和顺应性致动的领域。PAMs的基本设计目的是模仿生物肌肉的功能,具有高力重比以及平滑、逼真的运动。这些肌肉的充气和放气可快速控制,从而实现快速致动。在这项工作中,开发了一种基于连续介质力学的模型来预测PAMs的输出参数,如致动力。模型结果与实验数据的比较表明,该模型能够有效地预测PAMs的力学行为。利用所提出的力学模型提供的致动力-气压-收缩关系,推导了多连杆PAM驱动机器人机械手的动力学模型。提出了一种自适应固定时间快速终端滑模控制方法,以跟踪期望的关节位置轨迹,尽管存在模型不确定性和未知幅值边界的外部干扰。此外,通过数值模拟将所提出控制器的性能与自适应反步快速终端滑模控制器进行了比较。仿真结果表明,所提出的控制器具有更快的收敛速度和更精确的跟踪性能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ff3/11761296/f5cca271a592/biomimetics-10-00037-g001.jpg

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