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Human-in-the-Loop Control Strategy of Unilateral Exoskeleton Robots for Gait Rehabilitation

机译:单侧外骨骼机器人的人载控制策略进行步态康复

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摘要

In this article, a human-in-the-loop control methodology is proposed for the gait rehabilitation of patients with hemiplegia. It utilizes a unilateral exoskeleton system consisting of a unilateral lower limb exoskeleton and a real-time robot follower, such that the affected legs can be coordinated with the healthy legs with the assistance of the exoskeleton robot. In order to achieve immersive training during the physical therapy, the human-in-the-loop controller is developed. Furthermore, a region-based barrier Lyapunov function (BLF) is designed to separate the task workspace of the exoskeleton into a human region and a robot region, enabling the human leg to follow the desired motion trajectory in a compliant region, and the motion control of the exoskeleton is determined by humans; while in the robot region, the exoskeleton dominates the movement of human subjects. In order to make the motion control transit smoothly between the robot region and the human region, an adaptive controller is exploited to counteract the system's nonlinear uncertainties. Both the theoretical analysis and experimental results support the effectiveness and practicability on hemiplegic patients of our control strategy.
机译:在本文中,提出了一种用于偏瘫患者的步态康复的LOOP控制方法。它利用由单侧下肢外骨骼和实时机器人跟随器组成的单侧外骨骼系统,使得受影响的腿可以在外骨骼机器人的帮助下与健康的腿配合。为了在物理治疗过程中实现沉浸式训练,开发了人机控制器。此外,基于区域的屏障Lyapunov函数(BLF)被设计成将外骨骼的任务工作空间分开到人区域和机器人区域中,使人腿能够遵循柔性区域中的所需运动轨迹和运动控制外骨骼由人类决定;在机器人区域,外骨骼占主导地位人类受试者的运动。为了使运动控制在机器人区域和人区域之间平稳地进行,利用自适应控制器来抵消系统的非线性不确定性。理论分析和实验结果都支持我们控制策略的偏瘫患者的有效性和实用性。

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