Research on rehabilitation robot control based on port-Hamiltonian systems and fatigue dissipation port compensation

Authors

Jingjing Li, Zhen Chen, Jian Li, Hongyu Yan, Zhen Li, Minshan Feng, Jiawen Zhan, Liwei Shao

Abstract

IntroductionUpper-limb rehabilitation robots have been demonstrated to effectively promote motor recovery in stroke patients. However, in active training modes, control instability may be induced by the nonlinear and time-varying characteristics of muscle fatigue, increasing the risks of physical human-robot interaction and ultimately limiting rehabilitation outcomes.MethodsA novel control strategy within the port-Hamiltonian framework, incorporating a dynamic muscle fatigue model. Fatigue levels were assessed in real time using surface electromyography (sEMG) signals and mapped to damping parameters in joint space, enabling the port-based modeling of fatigue-related energy dissipation. A hierarchical control architecture was constructed, consisting of outer-loop admittance control and inner-loop energy shaping.ResultsTheoretical analysis confirmed that the closed-loop passivity of the system was preserved and stability was ensured. Experimental validation further showed that, compared to fixed damping parameters, the proposed fatigue compensation approach reduced muscle fatigue accumulation by 45% and increased training duration by 40%.DiscussionThe proposed fatigue-adaptive control framework was shown to enhance the safety, effectiveness, and physiological adaptability of rehabilitation training. The integration of real-time sEMG feedback and port-Hamiltonian modeling offers a promising solution for personalized robotic rehabilitation.

Citation

• Journal: Frontiers in Bioengineering and Biotechnology
• Year: 2025
• Volume: 13
• Issue:
• Pages:
• Publisher: Frontiers Media SA
• DOI: 10.3389/fbioe.2025.1609548

BibTeX

@article{Li_2025,
  title={{Research on rehabilitation robot control based on port-Hamiltonian systems and fatigue dissipation port compensation}},
  volume={13},
  ISSN={2296-4185},
  DOI={10.3389/fbioe.2025.1609548},
  journal={Frontiers in Bioengineering and Biotechnology},
  publisher={Frontiers Media SA},
  author={Li, Jingjing and Chen, Zhen and Li, Jian and Yan, Hongyu and Li, Zhen and Feng, Minshan and Zhan, Jiawen and Shao, Liwei},
  year={2025}
}

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