Two-Stage Trajectory-Tracking Control of Cable-Driven Upper-Limb Exoskeleton Robots with Series Elastic Actuators: A Simple, Accurate, and Force-Sensorless Method
被引:0
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作者:
Shu, Yana
论文数: 0引用数: 0
h-index: 0
机构:
Tsinghua Univ, Tsinghua Shenzhen Int Grad Sch, Beijing, Peoples R ChinaTsinghua Univ, Tsinghua Shenzhen Int Grad Sch, Beijing, Peoples R China
Shu, Yana
[1
]
Chen, Yu
论文数: 0引用数: 0
h-index: 0
机构:
Tsinghua Univ, Dept Automat, Beijing, Peoples R ChinaTsinghua Univ, Tsinghua Shenzhen Int Grad Sch, Beijing, Peoples R China
Chen, Yu
[2
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Zhang, Xuan
论文数: 0引用数: 0
h-index: 0
机构:
Tsinghua Univ, Tsinghua Shenzhen Int Grad Sch, Beijing, Peoples R ChinaTsinghua Univ, Tsinghua Shenzhen Int Grad Sch, Beijing, Peoples R China
Zhang, Xuan
[1
]
Zhang, Shisheng
论文数: 0引用数: 0
h-index: 0
机构:
Shenzhen MileBot Robot Co Ltd, Shenzhen, Peoples R ChinaTsinghua Univ, Tsinghua Shenzhen Int Grad Sch, Beijing, Peoples R China
Zhang, Shisheng
[3
]
Chen, Gong
论文数: 0引用数: 0
h-index: 0
机构:
Shenzhen MileBot Robot Co Ltd, Shenzhen, Peoples R ChinaTsinghua Univ, Tsinghua Shenzhen Int Grad Sch, Beijing, Peoples R China
Chen, Gong
[3
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Ye, Jing
论文数: 0引用数: 0
h-index: 0
机构:
Shenzhen MileBot Robot Co Ltd, Shenzhen, Peoples R ChinaTsinghua Univ, Tsinghua Shenzhen Int Grad Sch, Beijing, Peoples R China
Ye, Jing
[3
]
Li, Xiang
论文数: 0引用数: 0
h-index: 0
机构:
Tsinghua Univ, Dept Automat, Beijing, Peoples R ChinaTsinghua Univ, Tsinghua Shenzhen Int Grad Sch, Beijing, Peoples R China
Li, Xiang
[2
]
机构:
[1] Tsinghua Univ, Tsinghua Shenzhen Int Grad Sch, Beijing, Peoples R China
[2] Tsinghua Univ, Dept Automat, Beijing, Peoples R China
[3] Shenzhen MileBot Robot Co Ltd, Shenzhen, Peoples R China
来源:
2023 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, IROS
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2023年
基金:
中国国家自然科学基金;
关键词:
REHABILITATION;
D O I:
10.1109/IROS55552.2023.10342056
中图分类号:
TP18 [人工智能理论];
学科分类号:
081104 ;
0812 ;
0835 ;
1405 ;
摘要:
The advantages of cable-driven exoskeleton robots with series elastic actuators can be summarized in twofold: 1) the inertia of the robot joint is relatively low, which is more friendly for human-robot interaction; 2) the elastic element is tolerant to impacts and hence provides structural safety. As trade-offs, the overall dynamic model of such a system is of high order and subject to both unmodelled disturbances (due to the cable-driven mechanism) and external torques (due to the human-robot interaction), opening up challenges for the controller development. This paper proposes a new trajectory-tracking control scheme for cable-driven upper-limb exoskeleton robots with series elastic actuators. The control objectives are achieved in two stages: Stage I is to approximate then compensate for unmodelled disturbances with iterative learning techniques; Stage II is to employ a suboptimal model predictive controller to drive the robot to track the desired trajectory. While controlling such a robot is not trivial, the proposed control scheme exhibits the advantages of force-sensorlessness, high accuracy, and low complexity compared with other methods in the real-world experiments.