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相关概念视频

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
Controller Configurations01:22

Controller Configurations

128
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...
128
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
Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

147
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...
147
PI Controller: Design01:24

PI Controller: Design

361
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...
361
Open and closed-loop control systems01:17

Open and closed-loop control systems

828
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...
828

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数据驱动的级联控制系统:响应估计和控制器设计.

Y Sakai1, N Kawaguchi1, O Arrieta2

  • 1Department of Mechanical Engineering, Graduate School of Engineering, University of Hyogo, 2167, Shosha, Himeji, Hyogo 671-2280, Japan.

ISA transactions
|June 17, 2023
PubMed
概括
此摘要是机器生成的。

本研究介绍了对级控制系统的数据驱动设计. 该方法仅使用开环数据优化控制器参数,消除了对闭环系统数据的需求.

关键词:
布式系统是一个布式系统.数据驱动的数据驱动.响应估计 响应估计

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科学领域:

  • 控制系统工程 控制系统工程
  • 数据驱动建模数据驱动建模
  • 自动化技术自动化技术

背景情况:

  • 级联控制系统对于精确的工业过程管理至关重要.
  • 传统的设计方法往往需要大量的闭环系统数据,而这些数据很难获得.
  • 数据驱动的方法为更高效的控制器设计提供了潜力.

研究的目的:

  • 为级联控制系统提出一种新的数据驱动的设计方法.
  • 为了使控制器参数优化只使用开放循环输入输出数据.
  • 为了优化参考模型的时间常数以减少控制错误.

主要方法:

  • 从开放循环数据直接估计受控装置的输入输出响应.
  • 通过将参考模型与估计的闭环响应之间的差异最小化,优化控制器参数.
  • 估计虚拟参考输入的响应,以确定闭环行为.
  • 同时优化参考模型的时间常数.

主要成果:

  • 提出的方法成功地确定了只使用开放循环数据的级联控制器参数.
  • 消除了对复杂且可能无法获得的闭环系统数据的需求.
  • 与传统方法相比,通过数值示例证明了有效性.

结论:

  • 开发的数据驱动方法为设计级联控制系统提供了一种高效和实用的方法.
  • 这种技术通过利用易于获得的开放循环数据来简化控制器设计.
  • 控制器参数和参考模型时间常数的优化提高了控制性能.