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

Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

148
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...
148
PD Controller: Design01:26

PD Controller: Design

293
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,...
293
Feedback control systems01:26

Feedback control systems

352
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...
352
Open and closed-loop control systems01:17

Open and closed-loop control systems

835
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...
835
BIBO stability of continuous and discrete -time systems01:24

BIBO stability of continuous and discrete -time systems

454
System stability is a fundamental concept in signal processing, often assessed using convolution. For a system to be considered bounded-input bounded-output (BIBO) stable, any bounded input signal must produce a bounded output signal. A bounded input signal is one where the modulus does not exceed a certain constant at any point in time.
To determine the BIBO stability, the convolution integral is utilized when a bounded continuous-time input is applied to a Linear Time-Invariant (LTI) system....
454
Linear time-invariant Systems01:23

Linear time-invariant Systems

298
A system is linear if it displays the characteristics of homogeneity and additivity, together termed the superposition property. This principle is fundamental in all linear systems. Linear time-invariant (LTI) systems include systems with linear elements and constant parameters.
The input-output behavior of an LTI system can be fully defined by its response to an impulsive excitation at its input. Once this impulse response is known, the system's reaction to any other input can be...
298

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

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: Jul 28, 2025

Interactive and Visualized Online Experimentation System for Engineering Education and Research
08:35

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Published on: November 24, 2021

2.5K

对于有边界干扰的线性系统,强大的脱MPC.

Rodrigo Galvão de Souza Câmara1, Tito Luís Maia Santos1

  • 1Departamento de Engenharia Elétrica e de Computação, Universidade Federal da Bahia, Escola Politécnica, Rua Aristides Novis, 02, Federação, Brazil.

ISA transactions
|May 29, 2023
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种强大的脱模型预测控制器 (MPC),用于面临干扰的线性系统. 该方法确保可靠的约束满足,并减少交叉合,以提高系统性能.

关键词:
有限制的系统被限制.解控制器的控制器解.模型预测控制模型预测控制坚固性 坚固性

更多相关视频

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

11.7K
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

5.0K

相关实验视频

Last Updated: Jul 28, 2025

Interactive and Visualized Online Experimentation System for Engineering Education and Research
08:35

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Published on: November 24, 2021

2.5K
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

11.7K
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

5.0K

科学领域:

  • 控制系统工程 控制系统工程
  • 自动化和机器人技术
  • 应用数学 应用数学 应用数学

背景情况:

  • 有限制的线性系统容易受到边界干扰的影响,影响性能和稳定性.
  • 传统的脱方法可能会在递归可行性和强大的约束满足方面扎.
  • 在存在不确定性的情况下,精确追踪逐块常数引用仍然是一个挑战.

研究的目的:

  • 开发一个强大的脱模型预测控制器 (MPC) 用于有边界干扰的受约束线性系统.
  • 为了确保递归可行性,强大的约束满足,并尽量减少在设定点变化期间的交叉合.
  • 为了实现零碎常量引用的无偏移跟踪.

主要方法:

  • 显式解器与增强状态空间表示的集成.
  • 应用一个强大的MPC算法,适用于零碎的恒定参考跟踪.
  • 使用基于名义预测的人工目标进行无偏移跟踪.

主要成果:

  • 在有界干扰下证明了递归可行性和强大的约束满足.
  • 在设定点过渡期间,交叉合效应的显著减少.
  • 通过案例研究验证的零碎常量引用的有效无偏移跟踪.

结论:

  • 拟议的强有力的脱MPC战略有效地解决了线性系统中的约束和干扰.
  • 该方法在选择脱器和强大的MPC算法方面提供了灵活性.
  • 该方法为设定点变化和参考跟踪应用提供了可靠的解决方案.