
Yi LONG, Ning CHEN, Zhibin CAI, Hexiao GUO, Yutian CHI, Wei DONG. Development and iterative learning-enhanced sliding mode control of a bioinspired knee exoskeleton[J]. Journal of Zhejiang University Science C, 2026, 27(7): 1-12.
@article{title="Development and iterative learning-enhanced sliding mode control of a bioinspired knee exoskeleton",
author="Yi LONG, Ning CHEN, Zhibin CAI, Hexiao GUO, Yutian CHI, Wei DONG",
journal="Journal of Zhejiang University Science C",
volume="27",
number="7",
pages="1-12",
year="2026",
publisher="Zhejiang University Press & Springer",
doi="10.1631/ENG.ITEE.2025.0065"
}
%0 Journal Article
%T Development and iterative learning-enhanced sliding mode control of a bioinspired knee exoskeleton
%A Yi LONG
%A Ning CHEN
%A Zhibin CAI
%A Hexiao GUO
%A Yutian CHI
%A Wei DONG
%J Frontiers of Information Technology & Electronic Engineering
%V 27
%N 7
%P 1-12
%@ 1869-1951
%D 2026
%I Zhejiang University Press & Springer
%DOI 10.1631/ENG.ITEE.2025.0065
TY - JOUR
T1 - Development and iterative learning-enhanced sliding mode control of a bioinspired knee exoskeleton
A1 - Yi LONG
A1 - Ning CHEN
A1 - Zhibin CAI
A1 - Hexiao GUO
A1 - Yutian CHI
A1 - Wei DONG
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 27
IS - 7
SP - 1
EP - 12
%@ 1869-1951
Y1 - 2026
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/ENG.ITEE.2025.0065
Abstract: This paper introduces a novel knee exoskeleton designed to provide assistive torque to the knee joint and facilitate postoperative rehabilitation. Drawing inspiration from the anatomy of the human knee joint, the exoskeleton incorporates a biomimetic structure that integrates the “optimal axis of rotation” with the trajectory of the instantaneous center of rotation. This design effectively mitigates the issue of kinematic misalignment in the human‒machine joint, offering a more comfortable wearing experience for users. Furthermore, a highly integrated quasi-direct drive system is incorporated into the knee exoskeleton. The drive system can deliver a continuous torque of 18 N·m and a peak torque of 45 N·m to sufficiently meet the daily walking needs of patients. From a control perspective, a unified sliding mode control strategy based on iterative learning control is proposed to maintain high tracking accuracy. This strategy enables the system to achieve accurate tracking of the knee motion trajectory by continuously updating the control inputs through successive gait cycles. Experimental results demonstrate that the designed biomimetic joint mechanism effectively resolves the issue of misalignment in the human‒machine joint. Furthermore, the synergistic control strategy demonstrates excellent steady-state precision and transient robustness in terms of trajectory tracking during human‒exoskeleton cooperative walking.
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CLC number: TP242
On-line Access: 2026-08-12
Received: 2025-10-03
Revision Accepted: 2026-06-03
Crosschecked: 2026-08-12
Cited: 0
Clicked: 8
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