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Design of a lower extremity exoskeleton
based on 5-bar human machine model |
| YANG Wei1, ZHANG Xiu-feng2, YANG Can-jun1, WU Hai-jie1 |
1. State Key Laboratory of Fluid Power and Control,Zhejiang University,Hangzhou 310027,China;
2. National Research Center for Rehabilitation Technical Aids,Beijing 100176,China |
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Abstract Considering the increasing requirements of rehabilitation training for stroke patients and spinal cord injury (SCI) patients, this work analyzed the driving degrees of freedom of human lower limbs, and designed a lower extremity exoskeleton system based on treadmill, which combined the training experience of physiotherapists and the high-power, repeatability of robot. Based on the 5-bar human machine model, the dynamic equation was established and the driving torques of hip and knee joints were calculated, which could be used as reference of motor selection for corresponding joints. In order to get normal gait data on treadmill, optical motion capture system was used to obtain the data of feature points while a normal person was walking on the treadmill. And the 5-bar human machine model was used to obtain the gait data. The results were regarded as reference of standard gait data of the exoskeleton system. Clinical experiments were conducted, which proved the feasibility and reliability of the exoskeleton system, and the experimental results conformed to the symptom of the patients.This exoskeleton system provides stroke patients with a scientific training platform for rehabilitation．
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Published: 10 June 2018
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基于人机5杆模型的下肢外骨骼系统设计
针对日益增多的脑卒中病人和脊椎损伤病人康复训练需求,分析了人体下肢驱动自由度,设计出一种基于跑步机上行走训练的下肢外骨骼系统,将康复理疗师的训练经验与机器人的大功率以及可重复操作性集成于一体.利用人机耦合系统5杆模型,建立动力学方程并推导出髋、膝关节驱动力矩,为对应关节的驱动电机选型提供参考依据.为了获取正常人体在跑步机上行走的步态,利用光学动作捕捉系统采集正常人体在跑步机上行走时的特征点数据,结合人机耦合系统5杆模型推导出髋、膝关节角度值,作为患者在跑步机上康复训练的标准步态的参考.通过患者康复训练临床实验,验证了系统的可行性与可靠性,其实验结果与患者实际病情相符合.该外骨骼系统为脑卒中病人提供了一种科学的康复训练平台.
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