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相关概念视频

PI Controller: Design01:24

PI Controller: Design

263
Proportional Integral (PI) controllers are a fundamental component in modern control systems, widely used to enhance performance and mitigate steady-state errors. They are particularly effective in applications such as automatic brightness adjustment on smartphones, where they excel at mitigating steady-state errors for step-function inputs. Unlike PD controllers, which require time-varying errors to function optimally, PI controllers leverage their integral component to address residual...
263
Impedances and Admittance01:23

Impedances and Admittance

695
In the realm of AC circuits, passive circuit elements like resistors, inductors, and capacitors take on a different character when characterized by phasor voltage and current. Their behavior is expressed through impedance, a vital concept in AC circuit analysis.
Impedance is a measure of resistance to sinusoidal current flow in an AC circuit. Unlike their behavior in DC circuits, where inductors appear as short circuits and capacitors as open circuits, the behavior of these components in AC...
695

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相关实验视频

Updated: Jun 29, 2025

A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study
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对于上肢假肢的人类机器接口的阻抗控制

Laura Ferrante, Mohan Sridharan, Claudio Zito

    IEEE transactions on bio-medical engineering
    |April 2, 2024
    PubMed
    概括

    上肢假肢的自适应阻抗控制 (AIC-UP) 使用表面电肌学 (sEMG) 来调整假肢阻抗. 对于截肢者来说,AIC-UP提供了更好的稳定性和用户控制.

    科学领域:

    • 生物医学工程 生物医学工程
    • 机器人技术 机器人技术 机器人技术
    • 神经科学是一个神经科学.

    背景情况:

    • 上肢阻抗适应对于人类在抓取和操纵过程中与环境的相互作用至关重要.
    • 目前的假肢控制方法往往缺乏适应用户意图和任务需求的适应性.

    研究的目的:

    • 引入一个新的框架适应阻抗控制上肢假体 (AIC-UP) 使用表面电肌图 (sEMG) 信号.
    • 根据估计的人类运动意图,使假肢阻抗 (刚性,减噪) 的直观适应.

    主要方法:

    • AIC-UP采用由激动-对抗的sEMG信号驱动的肌肉-肌模型来估计关节动力学,刚性和阻尼.
    • 在模拟机器人上实现了可变阻抗控制器,避免了校准的联合扭矩或刚度测量.
    • 该框架在模拟的手腕曲-延伸任务中对有能力的受试者和一个跨辐射截肢者进行了评估.

    主要成果:

    • 与基于神经网络的动力回归方法相比,AIC-UP对肌肉协作激活的强度更高.
    • 用户反证实了AIC-UP的增强性能和控制能力.
    • 该系统允许用户有效地根据特定任务要求调整关节硬度和阻尼.

    结论:

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    • AIC-UP为上肢假肢提供了一个强大而可适应的控制框架.
    • 基于sEMG的方法可以增强用户的控制和与假肢设备的交互.
    • 这项技术有望改善截肢者的功能结果.