Research on variable impedance control of SEA-driven upper limb rehabilitation robot based on singular perturbation method

This paper proposes a variable impedance control strategy based on the singular perturbation method to address the challenges of achieving accurate impedance characteristics and mitigating stability degradation in two-degree-of-freedom planar SEA-driven robots. By decomposing the system into fast and slow subsystems, we control them separately to improve tracking performance, disturbance rejection, and impedance control. A MATLAB/Simulink model was developed for simulation and compared with a traditional PD controller. The results show that the proposed controller outperforms the PD controller, maintaining position errors under 10% and impedance errors under 30% of those seen with the PD controller under external force input. Additionally, experimental validation confirmed the controller's ability to optimally adjust robot stiffness in response to changes in the user's limb-end stiffness, supporting the assist-as-needed strategy.

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Publication Details

Journal
International Journal of Advanced Robotic Systems
Published
2025-07-01
DOI
https://doi.org/10.1177/17298806251325135
Primary Topic
Stroke Rehabilitation and Recovery
Type
article
Field-Weighted Citation Impact
0.00
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article

Research on variable impedance control of SEA-driven upper limb rehabilitation robot based on singular perturbation method

Bingshan Hu, Fengchen Liu, Hao Ren, Zhou Zhou et al.
International Journal of Advanced Robotic Systems
Stroke Rehabilitation and Recovery
article

Research on variable impedance control of SEA-driven upper limb rehabilitation robot based on singular perturbation method

Bingshan Hu, Fengchen Liu, Hao Ren, Zhou Zhou, Hongliu Yu
article en

Abstract

This paper proposes a variable impedance control strategy based on the singular perturbation method to address the challenges of achieving accurate impedance characteristics and mitigating stability degradation in two-degree-of-freedom planar SEA-driven robots. By decomposing the system into fast and slow subsystems, we control them separately to improve tracking performance, disturbance rejection, and impedance control. A MATLAB/Simulink model was developed for simulation and compared with a traditional PD controller. The results show that the proposed controller outperforms the PD controller, maintaining position errors under 10% and impedance errors under 30% of those seen with the PD controller under external force input. Additionally, experimental validation confirmed the controller's ability to optimally adjust robot stiffness in response to changes in the user's limb-end stiffness, supporting the assist-as-needed strategy.

International Journal of Advanced Robotic SystemsVol. 22(4)
University of Shanghai for Science and Technology (CN)
Openalex Percentile: Top 79%
Stroke Rehabilitation and Recovery
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