ADAPTIVE ROBUST CASCADE FORCE CONTROL OF 1-DOF JOINT EXOSKELETON FOR HUMAN PERFORMANCE AUGMENTATION

被引:0
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作者
Chen, Shan [1 ]
Yao, Bin [2 ,3 ]
Chen, Zheng [4 ,6 ]
Zhu, Xiaocong [2 ]
Zhu, Shiqiang [5 ]
机构
[1] Zhejiang Univ, State Key Lab Fluid Power Transmiss & Control SKL, Hangzhou 310027, Zhejiang, Peoples R China
[2] Zhejiang Univ, SKLoFPTC, Hangzhou 310027, Zhejiang, Peoples R China
[3] Purdue Univ, Sch Mech Engn, W Lafayette, IN 47907 USA
[4] Zhejiang Univ, Ocean Coll, Hangzhou 310027, Zhejiang, Peoples R China
[5] Zhejiang Univ, Res Ctr Robot, Hangzhou 310027, Zhejiang, Peoples R China
[6] Dalhousie Univ, Dept Mech Engn, Halifax, NS B3H 4R2, Canada
关键词
ROBOT;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The control objective of exoskeleton for human performance augmentation is to minimize the human machine interaction force while carrying external loads and following human motion. This paper addresses the dynamics and the interaction force control of a 1-DOF hydraulically actuated joint exoskeleton. A spring with unknown stiffness is used to model the human Machine interface. A cascade force control method is adopted with high-level controller generating the reference position command while low level controller doing motion tracking. Adaptive robust control(ARC) algorithm is developed for both two controllers to deal with the effect of parametric uncertainties and uncertain nonlinearities of the system. The proposed adaptive robust cascade force controller can achieve small human-machine interaction force and good robust performance to model uncertainty which have been validated by experiment.
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页数:8
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