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相关概念视频

Control Systems01:10

Control Systems

1.8K
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...
1.8K
Controller Configurations01:22

Controller Configurations

345
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...
345
Feedback control systems01:26

Feedback control systems

684
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...
684
Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

358
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...
358
PD Controller: Design01:26

PD Controller: Design

604
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,...
604
PI Controller: Design01:24

PI Controller: Design

1.1K
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...
1.1K

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相关实验视频

Updated: Jan 13, 2026

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
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Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

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对于执行器和传感器都出现故障的不确定系统,主动补偿故障耐受性控制.

Xufeng Ling1, Haichuan Xu2, Fanglai Zhu2,3

  • 1School of Artificial Intelligence, Shanghai Normal University Tianhua College, Shanghai 201815, China.

Sensors (Basel, Switzerland)
|January 10, 2026
PubMed
概括

本研究引入了一种新的故障重建 (FR) 方法和故障耐受性控制 (FTC) 方案,用于传感器和执行器故障的系统. 这种方法确保了系统稳定性,尽管同时出现故障.

关键词:
执行器和传感器出现故障.断层重建 断层重建 断层重建观察者间隔观察者间隔观察者间隔多个未知输入.减少阶级的观察员观察员.

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科学领域:

  • 控制系统工程 控制系统工程
  • 故障诊断和故障耐受性控制

背景情况:

  • 系统经常同时遇到传感器和执行器故障,损害稳定性和性能.
  • 现有的故障耐受性控制 (FTC) 方法可能会与组合故障场景作斗争.

研究的目的:

  • 开发一种新的故障重建 (FR) 方法,用于同时发生传感器和执行器故障.
  • 根据拟议的FR方法设计一个FTC方案,以确保稳健的系统运行.

主要方法:

  • 使用了一个类似于Luenberger的减少顺序观察员和一个间隔观察员.
  • 引入了一个输出转换来解传感器故障.
  • 为外部干扰和执行器故障制定了一个多重未知输入 (MUI).
  • 开发了一种代数MUI重建 (MUIR) 方法.

主要成果:

  • 实现了状态和传感器故障估计的非对称收.
  • 使用拟议的代数方法成功重建多个未知输入 (MUI).
  • 通过FTC,在同时发生故障的情况下证明了闭环系统的非对称稳定性.

结论:

  • 拟议的基于观察者的FTC计划有效地处理了同时发生的传感器和执行器故障.
  • 该方法确保了系统的稳定性,并满足了分离原则.
  • 模拟示例验证了开发的FR和FTC技术的有效性.