ENGINEERING Information Technology & Electronic Engineering  2026 Vol.27 No.7 P.1-12

http://doi.org/10.1631/ENG.ITEE.2025.0065


Development and iterative learning-enhanced sliding mode control of a bioinspired knee exoskeleton


Author(s):  Yi LONG, Ning CHEN, Zhibin CAI, Hexiao GUO, Yutian CHI, Wei DONG

Affiliation(s):  1. Faculty of Robot Science and Engineering, Northeastern University, Shenyang 110819, China more

Corresponding email(s):   longyi@mail.neu.edu.cn

Key Words:  Human‒machine misalignment, Knee exoskeleton, Sliding mode control, Iterative learning control


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.

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volume="27",
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pages="1-12",
year="2026",
publisher="Zhejiang University Press & Springer",
doi="10.1631/ENG.ITEE.2025.0065"
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%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
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%DOI 10.1631/ENG.ITEE.2025.0065

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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
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%@ 1869-1951
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PB - Zhejiang University Press & Springer
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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.

仿生膝关节外骨骼的开发与迭代学习滑模控制

龙亿1,2,陈宁3,蔡志斌4,郭贺骁4,迟余田5,董为5
1东北大学机器人科学与工程学院,中国沈阳市,110819
2东北大学佛山研究生创新学院,中国佛山市,528312
3东北大学机械工程与自动化学院,中国沈阳市,110819
4东北大学信息科学与工程学院,中国沈阳市,110819
5哈尔滨工业大学机电工程学院,中国哈尔滨市,150001
摘要:介绍了一种新型膝关节外骨骼,旨在为膝关节提供辅助扭矩并促进术后康复。受人体膝关节解剖结构启发,该外骨骼采用一种仿生结构,将"最佳旋转轴"与瞬时旋转中心的轨迹相融合,有效缓解人机关节运动学错位,为用户提供更舒适的穿戴体验。此外,膝关节外骨骼中集成了一个高度集成的准直驱动系统。该驱动系统能够提供18 N·m连续扭矩和45 N·m峰值扭矩,足以满足患者日常行走需求。从控制角度,提出一种基于迭代学习控制的统一滑模控制策略,以保持较高跟踪精度。通过在连续步态周期中不断更新控制输入,实现系统对膝关节运动轨迹的精确跟踪。实验结果表明,所设计的仿生关节结构有效解决了人机关节错位问题。此外,在人机协同行走过程中,该协同控制策略展现出优异的轨迹跟踪稳态精度和瞬态鲁棒性。

关键词:人机错位;膝关节外骨骼;滑模控制;迭代学习控制

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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

Citations:  Bibtex RefMan EndNote GB/T7714

 ORCID:

Yi LONG

0000-0003-4083-0589

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