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相关概念视频

Feedback control systems01:26

Feedback control systems

307
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...
307
Open and closed-loop control systems01:17

Open and closed-loop control systems

737
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...
737
Root-Locus Method01:19

Root-Locus Method

148
A cruise control system in a car is designed to maintain a specified speed automatically by adjusting the gas pedal. The system continuously measures the vehicle's speed and makes fine adjustments to the pedal to achieve this goal. The root locus method is particularly useful for understanding how the cruise control system's behavior changes under varying conditions, such as when the car goes uphill, downhill, or faces strong wind resistance.
This system can be represented by a block...
148
Control Systems01:10

Control Systems

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Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
At the heart...
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Root Loci for Positive-Feedback Systems01:23

Root Loci for Positive-Feedback Systems

119
The Hartley oscillator is a positive feedback system that sustains oscillations by feeding the output back to the input in phase, thereby reinforcing the signal. Positive feedback systems can be viewed as negative feedback systems with inverted feedback signals. In these systems, the root locus encompasses all points on the s-plane where the angle of the system transfer function equals 360 degrees.
The construction rules for the root locus in positive feedback systems are similar to those in...
119
Linear Approximation in Time Domain01:21

Linear Approximation in Time Domain

81
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,...
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相关实验视频

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对非线性地铁交通网络的模型验证和稳定状态反控制.

Fatemeh Khosrosereshki1, Bijan Moaveni2

  • 1Department of Control and Signaling, Faculty of Railway Engineering, Iran University of Science and Technology, Tehran 16846-13114, Iran.

ISA transactions
|March 22, 2024
PubMed
概括

本研究提出了新的地铁网络 (SN) 非线性离散事件 (DE) 模型,并使用蒙特卡洛 (MC) 方法验证它. 一个强大的状态反 (RSF) 控制器旨在有效地管理网络延迟.

关键词:
集中和分散的控制配置配置集中和分散的控制配置.模型验证模型验证蒙特卡洛 (MC) 方法强大的状态反 (RSF) 控制控制地铁交通网络 (STN)

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科学领域:

  • * 运营研究 运营研究
  • * 控制系统工程 * 控制系统工程
  • *运输系统建模 *运输系统建模

背景情况:

  • *地铁网络是复杂的系统,容易出现延误.
  • *现有的模型可能无法完全捕捉地铁运行的动态和非线性性质.
  • *需要有效的控制策略,以确保可靠的服务,并尽量减少中断.

研究的目的:

  • * 开发一个非线性离散事件 (DE) 模型,用于地铁网络 (SN) 中的交叉线路 (IL).
  • *使用蒙特卡洛 (MC) 仿真方法验证拟议的DE模型.
  • * 设计和评估一个强大的状态反 (RSF) 控制器,以减轻延误.

主要方法:

  • * 为地铁网络交叉线路开发非线性离散事件 (DE) 模型.
  • * 应用蒙特卡洛 (MC) 方法进行模型验证,包括随机延迟率和外部干扰.
  • * 设计一个强大的状态反 (RSF) 控制器,以补偿网络延迟.
  • *使用德黑兰地铁2号线和4号线现实数据进行模拟研究.

主要成果:

  • *开发的DE模型准确地反映了地铁网络的动态.
  • *蒙特卡洛模拟证实了模型的有效性和性能.
  • * RSF控制器有效地弥补了集中和分散配置中的延迟.
  • *模拟结果证明了拟议方法的准确性和有效性.

结论:

  • * 非线性DE模型为分析地铁网络运营提供了强大的框架.
  • * RSF控制器是提高地铁系统弹性和性能的可行解决方案.
  • * 该研究通过使用现实数据验证了拟议的建模和控制策略的有效性.