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相关概念视频

Open and closed-loop control systems01:17

Open and closed-loop control systems

594
Control systems are foundational elements in automation and engineering. They are broadly categorized into open-loop and closed-loop systems. These classifications hinge on the presence or absence of feedback mechanisms, significantly influencing the system's performance, complexity, and application.
An open-loop control system operates without feedback from the output. It consists of two primary elements: the controller and the controlled process. The controller receives an input signal...
594
Controller Configurations01:22

Controller Configurations

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Controller configurations are crucial in a car's cruise control system because they manage speed over time to maintain a consistent pace regardless of road conditions, thereby meeting design goals. In traditional control systems, fixed-configuration design involves predetermined controller placement. System performance modifications are known as compensation.
Control-system compensation involves various configurations, most commonly series or cascade compensation, in which the controller...
79
One-Degree-of-Freedom System01:24

One-Degree-of-Freedom System

444
In mechanical engineering, one-degree-of-freedom systems form the basis of a wide range of electrical and mechanical components. Using these models, engineers can predict the behavior of various parts in a larger system, which gives them insight into how different forces interact with each other.
A one-degree-of-freedom system is defined by an independent variable that determines its state and behavior. One example of a one-degree-of-freedom system is a simple harmonic oscillator, such as a...
444
Root-Locus Method01:19

Root-Locus Method

118
A cruise control system in a car is designed to maintain a specified speed automatically by adjusting the gas pedal. The system continuously measures the vehicle's speed and makes fine adjustments to the pedal to achieve this goal. The root locus method is particularly useful for understanding how the cruise control system's behavior changes under varying conditions, such as when the car goes uphill, downhill, or faces strong wind resistance.
This system can be represented by a block...
118
Feedback control systems01:26

Feedback control systems

262
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...
262
Control Systems01:10

Control Systems

987
Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
At the heart...
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相关实验视频

Updated: May 21, 2025

Robotic Mirror Therapy System for Functional Recovery of Hemiplegic Arms
10:32

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闭环代学习控制,用于在初始状态偏差的下肢康复机器人系统中的一致性跟踪.

Limin Huang1, Min Zhang2, Min He3

  • 1School of Mechanical Engineering, Chengdu University, Chengdu, 610106, China.

Scientific reports
|March 21, 2025
PubMed
概括

本研究引入了下肢康复机器人系统 (LLRRS) 的新型控制器,以实现共识跟踪控制,尽管初始状态偏差. 控制器确保对LLRRS状态变量进行准确的运动跟踪,改善康复结果.

关键词:
封闭循环的共识跟踪跟踪最初状态偏差的偏差下肢康复机器人系统下肢康复机器人系统可变的代学习控制控制.

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科学领域:

  • 机器人技术 机器人技术 机器人技术
  • 控制系统工程 控制系统工程
  • 生物医学工程 生物医学工程

背景情况:

  • 在下肢康复机器人系统 (LLRRS) 中,共识跟踪控制至关重要,以确保状态变量趋同.
  • 在LLRRS的初始状态偏差对实现准确的运动跟踪提出了挑战.

研究的目的:

  • 解决LLRRS中具有初始状态偏差的运动跟踪控制问题.
  • 设计和验证一个能够实现LLRRS状态变量共识跟踪的控制器.

主要方法:

  • 建立了LLRRS的动态数学模型.
  • 一个闭环PD型加速代学习控制器与初始状态学习被设计使用输出测量和可变的学习收益.
  • 数学分析,模拟和实验原型测试被用于验证.

主要成果:

  • 拟议的控制器证明了对LLRRS状态变量的共识跟踪控制的适用性.
  • 实验结果显示,关节角度的最大跟踪误差为7.14°,膝关节角度的最大误差为5.74°.
  • 该算法的可行性和有效性通过原型测试得到证实.

结论:

  • 开发的控制器有效地实现了对LLRRS的共识跟踪控制,即使有初始状态偏差.
  • 控制器利用系统输出测量和可变学习收益,简化了实现.
  • 该研究验证了拟议的算法在现实世界康复场景中的性能.