摘要
为解决航天服隔离助力系统与人体造成的人机运动协同问题,提出了基于肌肉神经活跃度建模的肌力特征识别方法,从肌电信号(EMG)量化分析了肌肉发力水平,而后根据肌肉实时发力意图对助力系统进行动力学控制,实现了航天员、航天服与助力系统的协同运动。最后,通过穿戴式柔索传动系统模拟了航天服肘关节助力工效实验,对基于肌肉神经活跃度的关节助力技术进行了验证。
To solve the human-machine cooperation problem caused by physical isolation of the motion assistive system and astronaut in spacesuit,a recognition method based on neuromuscular activation modeling was proposed to analyze the muscle force level quantitatively.Then the dynamic control of the motion assistive system was implemented based on the real-time muscle contraction intention to ensure the cooperative motion of the astronaut,spacesuit and motion assistive system.In the end,a wearable cable-driven system was used in the simulation experiment to test the spacesuit elbow motion assistive efficiency.The motion assistive technology based on neuromuscular activation was verified.
作者
崔翔
刘昊
吴庆勋
廖平平
张利剑
CUI Xiang;LIU Hao;WU Qingxun;LIAO Pingping;ZHANG Lijian(Beijing Machine and Equipment Institute,Beijing 100854,China)
出处
《载人航天》
CSCD
北大核心
2019年第4期448-453,474,共7页
Manned Spaceflight
基金
载人航天预先研究项目(030402)
关键词
EMG
肌肉神经活跃度
航天服
关节助力
EMG
neuromuscular activation
spacesuit
joint motion assistance