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多体分析与全腕外骨骼的震颤缓解控制。

Multibody Analysis and Control of a Full-Wrist Exoskeleton for Tremor Alleviation.

机构信息

Department of Mechanical Engineering, Virginia Tech Blacksburg, Blacksburg, VA 24061.

出版信息

J Biomech Eng. 2020 Dec 1;142(12). doi: 10.1115/1.4047424.

DOI:10.1115/1.4047424
PMID:32494816
Abstract

Uncontrollable shaking in the human wrist, caused by pathological tremor, can significantly undermine the power and accuracy in object manipulation. In this paper, the design of a tremor alleviating wrist exoskeleton (TAWE) is introduced. Unlike the works in the literature that only consider the flexion/extension (FE) motion, in this paper, we model the wrist joint as a constrained three-dimensional (3D) rotational joint accounting for the coupled FE and radial/ulnar deviation (RUD) motions. Hence TAWE, which features a six degrees-of-freedom (DOF) rigid linkage structure, aims to accurately monitor, suppress tremors, and provide light-power augmentation in both FE and RUD wrist motions. The presented study focuses on providing a fundamental understanding of the feasibility of TAWE through theoretical analyses. The analytical multibody modeling of the forearm-TAWE assembly provides insight into the necessary conditions for control, which indicates that reliable control conditions in the desired workspace can be acquired by tuning the design parameters. Nonlinear regressions are then implemented to identify the information that is crucial to the controller design from the unknown wrist kinematics. The proposed analytical model is validated numerically with V-REP and the result shows good agreement. Simulations also demonstrate the reliable performance of TAWE under controllers designed for tremor suppression and movement assistance.

摘要

人手腕不受控制的抖动,由病理性震颤引起,会显著降低对物体操作的力量和准确性。本文介绍了一种震颤减轻手腕外骨骼(TAWE)的设计。与文献中的仅考虑屈伸(FE)运动的工作不同,本文将腕关节建模为一个受约束的三维(3D)旋转关节,考虑到了 FE 和桡侧/尺侧偏斜(RUD)运动的耦合。因此,具有六自由度(DOF)刚性连杆结构的 TAWE 旨在准确监测、抑制震颤,并在 FE 和 RUD 腕部运动中提供轻动力增强。本研究重点通过理论分析提供对 TAWE 可行性的基本理解。前臂-TAWE 组件的分析多体建模提供了对控制的必要条件的深入了解,这表明通过调整设计参数可以获得所需工作空间内可靠的控制条件。然后,实施非线性回归来从未知腕部运动学中识别对控制器设计至关重要的信息。所提出的分析模型在 V-REP 中进行了数值验证,结果表明吻合良好。模拟还证明了在为抑制震颤和辅助运动而设计的控制器下,TAWE 的可靠性能。

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