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基于模板模型启发的腿部力反馈控制可辅助人类行走。

Template model inspired leg force feedback based control can assist human walking.

作者信息

Zhao Guoping, Sharbafi Maziar, Vlutters Mark, van Asseldonk Edwin, Seyfarth Andre

出版信息

IEEE Int Conf Rehabil Robot. 2017 Jul;2017:473-478. doi: 10.1109/ICORR.2017.8009293.

DOI:10.1109/ICORR.2017.8009293
PMID:28813865
Abstract

We present a novel control approach for assistive lower-extremity exoskeletons. In particular, we implement a virtual pivot point (VPP) template model inspired leg force feedback based controller on a lower-extremity powered exoskeleton (LOPES II) and demonstrate that it can effectively assist humans during walking. It has been shown that the VPP template model is capable of stabilizing the trunk and reproduce a human-like hip torque during the stance phase of walking. With leg force and joint angle feedback inspired by the VPP template model, our controller provides hip and knee torque assistance during the stance phase. A pilot experiment was conducted with four healthy subjects. Joint kinematics, leg muscle electromyography (EMG), and metabolic cost were measured during walking with and without assistance. Results show that, for 0.6 m/s walking, our controller can reduce leg muscle activations, especially for the medial gastrocnemius (about 16.0%), while hip and knee joint kinematics remain similar to the condition without the controller. Besides, the controller also reduces 10% of the net metabolic cost during walking. This paper demonstrates walking assistance benefits of the VPP template model for the first time. The support of human walking is achieved by a force feedback of leg force applied to the control of hip and knee joints. It can help us to provide a framework for investigating walking assistance control in the future.

摘要

我们提出了一种用于辅助下肢外骨骼的新型控制方法。具体而言,我们在下肢动力外骨骼(LOPES II)上实现了一种受虚拟枢轴点(VPP)模板模型启发的基于腿部力反馈的控制器,并证明它在行走过程中能够有效地辅助人类。研究表明,VPP模板模型能够在行走的站立阶段稳定躯干并重现类似人类的髋部扭矩。借助受VPP模板模型启发的腿部力和关节角度反馈,我们的控制器在站立阶段提供髋部和膝部扭矩辅助。对四名健康受试者进行了一项初步实验。在有辅助和无辅助行走过程中测量了关节运动学、腿部肌肉肌电图(EMG)和代谢成本。结果表明,对于0.6 m/s的行走速度,我们的控制器可以减少腿部肌肉的激活,尤其是腓肠肌内侧(约16.0%),而髋部和膝部关节运动学与无控制器的情况保持相似。此外,该控制器还能在行走过程中降低10%的净代谢成本。本文首次展示了VPP模板模型在行走辅助方面的益处。通过将腿部力的力反馈应用于髋部和膝部关节的控制来实现对人类行走的支持。它可以帮助我们为未来研究行走辅助控制提供一个框架。

相似文献

1
Template model inspired leg force feedback based control can assist human walking.基于模板模型启发的腿部力反馈控制可辅助人类行走。
IEEE Int Conf Rehabil Robot. 2017 Jul;2017:473-478. doi: 10.1109/ICORR.2017.8009293.
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Bio-inspired control of joint torque and knee stiffness in a robotic lower limb exoskeleton using a central pattern generator.利用中枢模式发生器对机器人下肢外骨骼的关节扭矩和膝关节刚度进行生物启发式控制。
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J Neuroeng Rehabil. 2025 Jan 24;22(1):12. doi: 10.1186/s12984-025-01556-5.
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Neuromechanical force-based control of a powered prosthetic foot.基于神经机械力的动力假肢足部控制
Wearable Technol. 2020 Oct 23;1:e6. doi: 10.1017/wtc.2020.6. eCollection 2020.
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Coordination Between Partial Robotic Exoskeletons and Human Gait: A Comprehensive Review on Control Strategies.部分机器人外骨骼与人类步态之间的协调:控制策略的综合综述
Front Bioeng Biotechnol. 2022 May 25;10:842294. doi: 10.3389/fbioe.2022.842294. eCollection 2022.
4
Review of control strategies for lower-limb exoskeletons to assist gait.下肢外骨骼助力行走的控制策略综述。
J Neuroeng Rehabil. 2021 Jul 27;18(1):119. doi: 10.1186/s12984-021-00906-3.
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Virtual Point Control for Step-Down Perturbations and Downhill Slopes in Bipedal Running.双足跑步中用于降阶扰动和下坡坡度的虚拟点控制
Front Bioeng Biotechnol. 2020 Dec 18;8:586534. doi: 10.3389/fbioe.2020.586534. eCollection 2020.
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Postural stability in human running with step-down perturbations: an experimental and numerical study.人类跑步时应对下台阶扰动的姿势稳定性:一项实验与数值研究。
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Biarticular muscles in light of template models, experiments and robotics: a review.双关节肌:基于模板模型、实验和机器人技术的研究综述。
J R Soc Interface. 2020 Feb;17(163):20180413. doi: 10.1098/rsif.2018.0413. Epub 2020 Feb 26.
8
From template to anchors: transfer of virtual pendulum posture control balance template to adaptive neuromuscular gait model increases walking stability.从模板到锚点:将虚拟摆锤姿势控制平衡模板转移至适应性神经肌肉步态模型可提高行走稳定性。
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Leg Force Control Through Biarticular Muscles for Human Walking Assistance.通过双关节肌肉进行腿部力量控制以辅助人类行走
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