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

Feedback control systems01:26

Feedback control systems

419
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...
419
Controller Configurations01:22

Controller Configurations

149
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...
149
Effects of feedback01:24

Effects of feedback

698
Feedback in control systems plays a critical role in shaping various operational parameters, extending beyond simple error reduction to influence stability, bandwidth, gain, impedance, and sensitivity. Understanding these effects requires examining a basic feedback system characterized by defined input, output, error, and feedback signals.
Feedback significantly modifies the gain of a control system. The gain of a system without feedback is altered by a factor of one plus GH, where G represents...
698
Open and closed-loop control systems01:17

Open and closed-loop control systems

993
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...
993
Phase-lead and Phase-lag Controllers01:22

Phase-lead and Phase-lag Controllers

225
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...
225
PD Controller: Design01:26

PD Controller: Design

349
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,...
349

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

Predictive ESO-based control with guaranteed stability for uncertain MIMO constrained systems.

ISA transactions·2021
Same author

Controlling industrial dead-time systems: When to use a PID or an advanced controller.

ISA transactions·2019
Same author

Temperature control in a solar collector field using Filtered Dynamic Matrix Control.

ISA transactions·2015
查看所有相关文章

相关实验视频

Updated: Sep 10, 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

13.8K

提供向前操作和输出约束对一般分区控制

José Diogo Forte de Oliveira Luna1, Diogo Ortiz Machado2, Julio Elias Normey-Rico2

  • 1Department of Automation and Systems Engineering, Federal University of Santa Catarina, R. Delfino Conti, s/n, Florianópolis, 88040-900, Santa Catarina, Brazil; Control and Automation Engineering Coordination, Federal Institute of Rondônia, Av. Calama, 4985, Porto Velho, 76820-441, Rondônia, Brazil.

ISA transactions
|August 22, 2025
PubMed
概括

这项研究引入了一种用于工业过程的分割范围控制的新方法,使得前进补偿和输出约束处理成为可能. 这种方法提高了效率并减少了违规行为,计算成本低于模型预测控制.

关键词:
料前期控制在 MISO 过程过程约束分隔范围控制

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

5.0K
The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

11.8K

相关实验视频

Last Updated: Sep 10, 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

13.8K
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

5.0K
The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

11.8K

科学领域:

  • 控制工程
  • 工业流程优化
  • 可再生能源系统

背景情况:

  • 在具有多种执行器的多输入单输出 (MISO) 系统中,分割范围的控制是常见的.
  • 由于模型预测控制 (MPC) 等方法的顺序执行和计算需求,整合前和输出约束是具有挑战性的.

研究的目的:

  • 为通用分距离控制 (GSRC) 开发一种新的方法,其中包括前补偿和输出约束处理.
  • 克服MISO过程中的常规方法的局限性.

主要方法:

  • 扩展基于通用预测控制 (GPC) 的 PID 控制器,并使用约束映射法来处理输出约束.
  • 在GSRC框架中使用每个道的增强PID控制器进行集成的前行动.
  • 通过在弗雷内尔太阳能缩器 (FSC) 模型上的模拟验证了拟议的方法.

主要成果:

  • 拟议的GSRC战略成功地整合了输入补偿和输出约束处理.
  • 在弗雷内尔太阳能缩器模拟中实现了竞争力的能量和能量生成.
  • 与基准MPC相比,降低了温度违规,并显示了较低的计算成本.

结论:

  • 新的GSRC方法为MISO流程提供了一个计算效率高的MPC替代方案.
  • 该方法可用于提高工业应用中的控制性能和约束处理.
  • 在Fresnel太阳能缩器等可再生能源系统中验证有效性.