Fall preventive gait trajectory planning of a lower limb rehabilitation exoskeleton based on capture point theory

被引:11
作者
Deng, Mei-ying [1 ]
Ma, Zhang-yi [2 ]
Wang, Ying-nan [2 ]
Wang, Han-song [2 ]
Zhao, Yi-bing [2 ]
Wei, Qian-xiao [2 ]
Yang, Wei [2 ]
Yang, Can-jun [2 ]
机构
[1] Zhejiang Univ Hosp, Hangzhou 310027, Zhejiang, Peoples R China
[2] Zhejiang Univ, State Key Lab Fluid Power & Mechatron Syst, Hangzhou 310027, Zhejiang, Peoples R China
基金
中国国家自然科学基金;
关键词
Lower extremity exoskeleton; Capture point; Gait phase; Balance of human-machine system; TP242;
D O I
10.1631/FITEE.1800777
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
We study the balance problem caused by forward leaning of the wearer's upper body during rehabilitation training with a lower limb rehabilitation exoskeleton. The instantaneous capture point is obtained by modeling the human-exoskeleton system and using the capture point theory. By comparing the stability region with instantaneous capture points of different gait phases, the balancing characteristics of different gait phases and changes to the equilibrium state in the gait process are analyzed. Based on a model of the human-exoskeleton system and the condition of balance of different phases, a trajectory correction strategy is proposed for the instability of the human-exoskeleton system caused by forward leaning of the wearer's upper body. Finally, the reliability of the trajectory correction strategy is verified by carrying out experiments on the Zhejiang University Lower Extremity Exoskeleton. The proposed trajectory correction strategy can respond to forward leaning of the upper body in a timely manner. Additionally, in the process of the center of gravity transferred from a double-support phase to a single-support phase, the ratio of gait cycle to zero moment point transfer is reduced correspondingly, and the gait stability is improved.
引用
收藏
页码:1322 / 1330
页数:9
相关论文
共 17 条
[1]  
[Anonymous], 2016, New Trends in Medical and Service Robots: Design, Analysis and Control
[2]  
Aphiratsakun N., 2012, ADV MATER RES-KR, V488-489, P1026, DOI [10.4028/www.scientific.net/AMR.488-489.1026, DOI 10.4028/WWW.SCIENTIFIC.NET/AMR.488-489.1026]
[3]  
Englsberger J, 2011, IEEE INT C INT ROBOT, P4420, DOI 10.1109/IROS.2011.6048045
[4]   Power assist method based on Phase Sequence and muscle force condition for HAL [J].
Kawamoto, H ;
Sankai, Y .
ADVANCED ROBOTICS, 2005, 19 (07) :717-734
[5]   Capturability-based analysis and control of legged locomotion, Part 1: Theory and application to three simple gait models [J].
Koolen, Twan ;
de Boer, Tomas ;
Rebula, John ;
Goswami, Ambarish ;
Pratt, Jerry .
INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH, 2012, 31 (09) :1094-1113
[6]   Recognition of walking environments and gait period by surface electromyography [J].
Kyeong, Seulki ;
Shin, Wonseok ;
Yang, Minjin ;
Heo, Ung ;
Feng, Ji-rou ;
Kim, Jung .
FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING, 2019, 20 (03) :342-352
[7]  
Li L, 2015, IEEE INT C INT ROBOT, P3817, DOI 10.1109/IROS.2015.7353913
[8]  
Lu YL, 2013, THESIS NE U CHINA
[9]  
Masuya K, 2015, IEEE INT C INT ROBOT, P3975, DOI 10.1109/IROS.2015.7353937
[10]  
Parietti F, 2016, IEEE INT C ROB AUT, P175