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Open and closed-loop control systems01:17

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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.
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Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
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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...
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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.
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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.
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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...
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通过整体滑动模式对远程联网随机系统进行安全控制.

Yingxin Tian1, Renjie Ma2, Yabin Gao3

  • 1School of Astronautics, Harbin Institute of Technology, Harbin 150001, China; Faulty of Computing, Harbin Institute of Technology, Harbin 150001, China.

ISA transactions
|December 27, 2023
PubMed
概括

本研究介绍了面临虚假数据注入攻击的网络随机系统的集成滑动模式控制. 拟议的方法增强了系统的安全性和稳定性,防止网络威胁.

关键词:
攻击弹性 攻击弹性由事件触发的控制控制器.网络控制系统的网络控制系统.滑动模式控制器 滑动模式控制器随机系统 随机系统是指随机系统.

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科学领域:

  • 控制工程 控制工程 控制工程
  • 网络安全 网络安全
  • 随机系统 随机系统 随机系统

背景情况:

  • 网络控制系统容易受到虚假数据注入攻击.
  • 层次控制结构带来了独特的安全挑战.
  • 在网络攻击下确保系统稳定性和性能至关重要.

研究的目的:

  • 为网络化随机系统开发安全的控制策略,防止虚假数据注入攻击.
  • 设计一种模式共享的事件触发控制器,以提高网络安全性.
  • 通过缩放的小增益理论来分析和确保系统稳定性.

主要方法:

  • 集成的滑动模式控制技术.
  • 模式共享事件触发控制器设计使用时间延迟方法.
  • 输入-输出模型,用于变化时间延迟的两项近似.
  • 规模化小增益理论用于稳定性分析.

主要成果:

  • 为了实现所需的系统性能,得出了足够的条件.
  • 基于稳定性条件合成了控制器参数.
  • 为了安全控制,提出了一个完整的滑动模式控制法.
  • 模拟示例验证了拟议方法的有效性.

结论:

  • 拟议的整体滑动模式控制有效地解决了在虚假数据注入攻击下的联网随机系统中的安全控制.
  • 事件触发机制和稳定性分析为安全的网络控制提供了强大的框架.
  • 该方法通过模拟验证证明了其实际适用性.