Jove
Visualize
联系我们

相关概念视频

Time and frequency -Domain Interpretation of Phase-lead Control01:24

Time and frequency -Domain Interpretation of Phase-lead Control

80
Phase-lead controllers are commonly used in various control systems to enhance response speed and stability. Adjusting the brightness on a television screen offers a practical example of phase-lead control. When contrast is enhanced, a phase-lead controller is employed. Mathematically, phase-lead control is identified when the first parameter is smaller than the second.
The design of phase-lead control involves the strategic placement of poles and zeros to balance steady-state error and system...
80
Phase-lead and Phase-lag Controllers01:22

Phase-lead and Phase-lag Controllers

165
Understanding the working function of different types of controllers can be illustrated with practical analogies, such as adjusting a stereo's volume equalizer. Cranking up the bass involves a phase-lead controller, which functions as a high-pass filter, while increasing the treble uses a phase-lag controller, which acts as a low-pass filter. PD controllers, similar to high-pass filters, enhance the system's response to high-frequency components. PI controllers, akin to low-pass...
165
Controller Configurations01:22

Controller Configurations

90
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...
90
Feedback control systems01:26

Feedback control systems

300
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...
300
Time and frequency -Domain Interpretation of PI Control01:27

Time and frequency -Domain Interpretation of PI Control

113
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...
113
PI Controller: Design01:24

PI Controller: Design

238
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...
238

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

Cycling of organic and inorganic sulphur in a chestnut oak forest.

Oecologia·2017
查看所有相关文章
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

相关实验视频

Updated: Jun 18, 2025

An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces
10:51

An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces

Published on: March 10, 2011

13.7K

对于多变量非最小相位系统的最佳控制器识别.

D D Huff1, L Campestrini2, G R Gonçalves da Silva3

  • 1GIPSA-Lab, Université Grenoble Alpes, Grenoble, France.

ISA transactions
|July 30, 2024
PubMed
概括
此摘要是机器生成的。

本研究介绍了非最小阶段 (NMP) 系统的数据驱动控制方法,使控制器设计无需工厂模型. 该方法成功地使用输入输出数据识别了NMP传输零和最佳控制器参数.

关键词:
数据驱动的控制是数据驱动的控制.模型参考控制器 模型参考控制器非最小相位系统的非最小相位系统.在 OCI 方法中使用 OCI 方法.

更多相关视频

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control
08:18

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control

Published on: August 15, 2020

4.9K
Experimental Methods to Study Human Postural Control
08:12

Experimental Methods to Study Human Postural Control

Published on: September 11, 2019

9.4K

相关实验视频

Last Updated: Jun 18, 2025

An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces
10:51

An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces

Published on: March 10, 2011

13.7K
WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control
08:18

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control

Published on: August 15, 2020

4.9K
Experimental Methods to Study Human Postural Control
08:12

Experimental Methods to Study Human Postural Control

Published on: September 11, 2019

9.4K

科学领域:

  • 控制工程 控制工程 控制工程
  • 系统识别系统识别系统
  • 数据驱动的控制控制数据驱动的控制

背景情况:

  • 设计用于未知的系统的控制器是具有挑战性的.
  • 非最小阶段 (NMP) 系统在控制设计中带来了特定的困难.
  • 模型参考方法需要适应数据驱动的NMP系统控制.

研究的目的:

  • 为非最小阶段 (NMP) 系统开发数据驱动的控制策略.
  • 为NMP系统适应最佳控制器识别 (OCI) 方法.
  • 从输入输出数据中识别NMP传输零和控制器参数.

主要方法:

  • 使用转移函数矩阵作为参考模型的模型参考范式.
  • 调整最佳控制器识别 (OCI) 公式以实现数据驱动的NMP控制.
  • 使用方便的参考模型参数化和灵活的性能标准.

主要成果:

  • 成功确定了该工厂的NMP传输零点.
  • 确定NMP系统的最佳控制器参数.
  • 通过对对角形和块三角形参考模型的模拟示例来证明有效性.

结论:

  • 拟议的数据驱动方法有效地解决了NMP系统中的控制挑战.
  • 经过调整的OCI方法允许识别关键的NMP系统特征.
  • 这种方法为控制器设计提供了一个可行的解决方案,当工厂模型是未知的.