Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

PI Controller: Design01:24

PI Controller: Design

504
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...
504
PD Controller: Design01:26

PD Controller: Design

356
In automotive engineering, car suspension systems often employ Proportional Derivative (PD) controllers to enhance performance. PD controllers are utilized to adjust the damping force in response to road conditions. A controller, acting as an amplifier with a constant gain, demonstrates proportional control, with output directly mirroring input.
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...
356
Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

182
Proportional-Derivative (PD) control is a widely used control method in various engineering systems to enhance stability and performance. In a system with only proportional control, common issues include high maximum overshoot and oscillation, observed in both the error signal and its rate of change. This behavior can be divided into three distinct phases: initial overshoot, subsequent undershoot, and gradual stabilization.
Consider the example of control of motor torque. Initially, a positive...
182
Time and frequency -Domain Interpretation of PI Control01:27

Time and frequency -Domain Interpretation of PI Control

208
Proportional-Integral (PI) controllers are essential in many control systems to improve stability and performance. They are commonly used in everyday devices like thermostats to enhance system damping and reduce steady-state error. When the zero in the controller's transfer function is optimally placed, the system benefits significantly in terms of stability and accuracy.
Acting as a low-pass filter, the PI controller slows the system's response and extends settling times. This requires...
208
Feedback control systems01:26

Feedback control systems

431
Feedback control systems are categorized in various ways based on their design, analysis, and signal types.
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
431
PID Controller01:19

PID Controller

239
Proportional-Integral-Derivative (PID) controllers are widely used in various control systems to enhance stability and performance. In a thermostat, it adjusts heating or cooling based on the temperature difference between the actual and desired levels. They are often used in automotive speed systems, effectively managing sudden speed changes while maintaining a constant speed under varying conditions. On the other hand, PI controllers, commonly employed in voltage regulation, enhance stability...
239

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Efficient and Scalable Tuning of Continuous Impedance Control for Powered Knee Prostheses.

IEEE robotics and automation letters·2026
Same author

SHIELD: An AI Framework for Skeletal Health Intelligence and Early Lesion Detection to Improve Orthopedic Referrals.

Journal of medical systems·2026
Same author

Decoding Clinician Authorial Style: A Style-Informed Pipeline for Clinical Document Summary Generation with Large Language Models.

Research square·2026
Same author

Transcriptomic profiling of human endothelial cells infected with venezuelan equine encephalitis virus reveals NRF2 driven host reprogramming mediated by omaveloxolone treatment.

Frontiers in genetics·2026
Same author

Guided Training with Visual Feedback can Improve Direct Electromyography Control of Prosthetic Ankles and Sit-to-Stand Performance: A Case Study.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]·2025
Same author

Effects of Hip Adduction-Abduction Exoskeleton-Controlled Step Width on Mediolateral Gait Balance During Walking.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]·2025
Same journal

Exploring Synergy Between Tactile Perception and Arm Usage.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]·2025
Same journal

Multi-Modal Muscle Activation Modeling Using Koopman Operator Linearization for an Ankle Exoskeleton.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]·2025
Same journal

Unsupervised Robot-Assisted Therapy at Home After Stroke: a Pilot Feasibility Study.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]·2025
Same journal

Optimizing Senior Living with Robots: A User Study on Social and Architectural Integration.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]·2025
Same journal

Effects of Exoskeletons on Error Between Marker and Markerless Motion Capture in Children With Crouch Gait: A Pilot Study.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]·2025
Same journal

Recovr Glove: Accessible Hand Exoskeleton for Stroke Rehabilitation and Everyday Aid.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]·2025
查看所有相关文章

相关实验视频

Updated: Sep 16, 2025

A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study
06:58

A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study

Published on: November 6, 2015

9.6K

一个离线的基于强化学习的自动调整框架,用于电动假肢中持续阻抗控制.

Woolim Hong, Abbas Alili, He Helen Huang

    IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
    |July 11, 2025
    PubMed
    概括
    此摘要是机器生成的。

    强化学习 (RL) 提供了一种调整动力假肢控制步行的新方法. 这种方法优化了刚度参数,减少了手动调整,并改善了个性化的假肢功能.

    更多相关视频

    Engineering Platform and Experimental Protocol for Design and Evaluation of a Neurally-controlled Powered Transfemoral Prosthesis
    11:16

    Engineering Platform and Experimental Protocol for Design and Evaluation of a Neurally-controlled Powered Transfemoral Prosthesis

    Published on: July 22, 2014

    16.4K
    Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
    11:54

    Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

    Published on: May 8, 2021

    4.7K

    相关实验视频

    Last Updated: Sep 16, 2025

    A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study
    06:58

    A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study

    Published on: November 6, 2015

    9.6K
    Engineering Platform and Experimental Protocol for Design and Evaluation of a Neurally-controlled Powered Transfemoral Prosthesis
    11:16

    Engineering Platform and Experimental Protocol for Design and Evaluation of a Neurally-controlled Powered Transfemoral Prosthesis

    Published on: July 22, 2014

    16.4K
    Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
    11:54

    Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

    Published on: May 8, 2021

    4.7K

    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
    • 控制系统 控制系统

    背景情况:

    • 动力假肢中的连续阻抗控制模仿了人类的关节行为.
    • 目前用于步行控制的手动调是耗时的,并限制了适应性.

    研究的目的:

    • 开发一个强化学习 (RL) 驱动的框架,用于在动力假肢中连续阻抗控制的离线调整.
    • 为了优化关键的刚性参数,在行走时增强膝盖动力学.

    主要方法:

    • 开发了一种基于高斯过程回归 (GPR) 的连续刚性运动学 (CSK) 模型来预测膝盖运动学.
    • 采用深度决定性政策梯度 (DDPG) 算法用于离线优化刚度参数.
    • 通过四名参与者的实验数据来训练和验证CSK模型.

    主要成果:

    • 基于度参数,CSK模型准确地预测了膝盖动力学.
    • RL框架成功地优化了离线硬度参数,减少了手动调整.
    • 证明了RL驱动的假肢控制调整方法的可行性和可靠性.

    结论:

    • RL驱动的离线调整是一种可行的方法,可以增强用于行走的动力假肢控制.
    • 这种方法提高了个性化,并减少了参数调整的经验性质.
    • 未来的工作包括在线人机循环集成,用于自适应实时控制.