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机器人髋膝外骨骼助行控制的步态训练。

Assistive Mobility Control of a Robotic Hip-Knee Exoskeleton for Gait Training.

机构信息

Department of Mechatronic Engineering, National Taiwan Normal University, 162, Section 1, He-Ping East Road, Taipei 106, Taiwan.

出版信息

Sensors (Basel). 2022 Jul 4;22(13):5045. doi: 10.3390/s22135045.

Abstract

In this paper, we present an assistive mobility control for a robotic hip-knee exoskeleton intended for gait training. The robotic hip-knee exoskeleton is designed with an active flexion/extension and a passive abduction/adduction at each hip joint and an active flexion/extension at each knee joint to comply with the movement of lower limbs. While facilitating walking with the robotic exoskeleton, model-free linear extended state observer (LESO)-based controllers are proposed for gait control, in which the LESO is used to deal with each user's different lower limb parameters and unknown exerted torques. Walking and ascending experiments were conducted to evaluate the performance of the proposed methods, and the results are shown with respect to walking parameters. Moreover, a preliminary study for an extended application to the recovery of normal gaits that relieves the freezing of gait (FOG) in Parkinson's disease (PD) patients is also investigated in the paper.

摘要

本文提出了一种用于机器人髋关节-膝关节外骨骼的辅助移动控制,该外骨骼旨在进行步态训练。机器人髋关节-膝关节外骨骼的设计具有主动屈伸和被动外展/内收每个髋关节以及主动屈伸每个膝关节,以符合下肢的运动。在使用机器人外骨骼进行行走的同时,提出了基于无模型线性扩张状态观测器(LESO)的控制器用于步态控制,其中 LESO 用于处理每个用户不同的下肢参数和未知的施加扭矩。进行了行走和上升实验以评估所提出方法的性能,结果显示了行走参数。此外,本文还研究了将其扩展应用于缓解帕金森病(PD)患者冻结步态(FOG)的正常步态恢复的初步研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c561/9269733/e69f918b4162/sensors-22-05045-g001.jpg

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