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Open and closed-loop control systems01:17

Open and closed-loop control systems

634
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...
634
Feedback control systems01:26

Feedback control systems

281
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...
281
Linear Approximation in Time Domain01:21

Linear Approximation in Time Domain

62
Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
62
One-Degree-of-Freedom System01:24

One-Degree-of-Freedom System

460
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...
460
Three-Dimensional Force System:Problem Solving01:30

Three-Dimensional Force System:Problem Solving

625
A three-dimensional force system refers to a scenario in which three forces act simultaneously in three different directions. This type of problem is commonly encountered in physics and engineering, where it is necessary to calculate the resultant force on the system, which can then be used to predict or analyze the behavior of the object or structure under consideration.
To solve a three-dimensional force system, first resolve each force into its respective scalar components. Do this using...
625
Linear Approximation in Frequency Domain01:26

Linear Approximation in Frequency Domain

85
Linear systems are characterized by two main properties: superposition and homogeneity. Superposition allows the response to multiple inputs to be the sum of the responses to each individual input. Homogeneity ensures that scaling an input by a scalar results in the response being scaled by the same scalar.
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear....
85

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相关实验视频

Updated: Jun 4, 2025

Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques
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Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques

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基于频域的非线性规范化的代学习控制,用于三维球螺杆驱动系统.

Fu Wen-Yuan1

  • 1College of Information Science and Engineering, Huaqiao University, Xiamen, 361002, China.

ISA transactions
|January 1, 2025
PubMed
概括
此摘要是机器生成的。

本研究引入了一种新的数据驱动的代学习控制 (ILC) 方法,可以提高未知系统的跟踪性能,而不需要植物模型. 这种方法提高了瞬态性能,并降低了计算负载.

关键词:
基于数据的数据基于数据的数据.频率域是一个频率域.代变化的代变化代式学习控制不重复性的 不重复性的

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Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
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An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces
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相关实验视频

Last Updated: Jun 4, 2025

Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques
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Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
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An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces
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科学领域:

  • 控制系统工程 控制系统工程
  • 机器人技术 机器人技术 机器人技术
  • 机器学习 机器学习

背景情况:

  • 代学习控制 (ILC) 在重复任务中表现出色,但通常需要名义工厂模型,导致由于模型不匹配而导致性能下降.
  • 现有的ILC方法通常由于依赖系统识别而受到限制,这阻碍了它们在未知或不断变化的动态场景中的应用.

研究的目的:

  • 为代学习控制 (ILC) 开发一种新的,无模型的规范化概念,适用于未知的离散时间系统.
  • 为了提高ILC的短暂跟踪性能,用于代不变和代变化的轨迹跟踪任务.
  • 为了减少计算复杂性,并防止过度输入放大在ILC系统.

主要方法:

  • 使用数据驱动的频域方法来开发规范化概念,消除了对显式系统模型信息的需求.
  • 拟议的方法使输入-输出比率正常化,以有效地管理系统动态.
  • 该方法通过在三维球螺杆驱动系统上的实验应用来验证.

主要成果:

  • 新的规范化概念成功地为未知的离散时间系统实现了无模型的ILC.
  • 与传统基于模型的ILC方法相比,观察到暂时跟踪性能显著改善.
  • 该方法在代不变和代变化的轨迹跟踪方面都表现出有效性,展示了其多功能性.
  • 实现了减少计算复杂性和控制输入放大.

结论:

  • 拟议的数据驱动,无模型的ILC方法为在未知的系统中精确跟踪提供了强大的解决方案,克服了传统方法的局限性.
  • 这种规范化技术提高了控制性能和效率,特别是在复杂的现实应用中,如机器人系统.
  • 这些发现为将ILC应用于更广泛的动态系统开辟了新的途径,在这些动态系统中,精确的建模具有挑战性或不可能.