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相关概念视频

Control Systems01:10

Control Systems

966
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...
966
Load-frequency control01:28

Load-frequency control

97
Load-frequency control (LFC) is vital for maintaining power system stability, ensuring that frequency and power flows remain within acceptable limits during load changes. Turbine-governor control eliminates rotor accelerations and decelerations following load changes. However, a steady-state frequency error persists when the change in the turbine-governor reference setting is zero. In an interconnected power system, each area agrees to export or import a scheduled amount of power through...
97
Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

75
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...
75
Transient and Steady-state Response01:24

Transient and Steady-state Response

126
In control systems, test signals are essential for evaluating performance under various conditions. The ramp function is effective for systems undergoing gradual changes, while the step function is suitable for assessing systems facing sudden disturbances. For systems subjected to shock inputs, the impulse function is the most appropriate test signal.
These test signals are integral in designing control systems to exhibit two key performance aspects: transient response and steady-state...
126
Feedback control systems01:26

Feedback control systems

256
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...
256
Controller Configurations01:22

Controller Configurations

75
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...
75

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相关实验视频

Updated: May 16, 2025

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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智能故障耐受性控制使用长期短期内存,在故障条件下提供高效的系统性能.

Mostafa H El-Mahdy1, Abdelrahman O Ali2,3, O H Hassan2,3

  • 1Mechatronics Department, Faculty of Engineering, Ahram Canadian University, Cairo, Egypt. mostafa.hamdy@acu.edu.eg.

Scientific reports
|May 9, 2025
PubMed
概括

本研究介绍了一个数据驱动的故障耐受性控制系统,使用单个长短期存储器 (LSTM) 网络. 这种创新方法提高了控制系统的弹性,而不需要诊断或过程模型,在模拟中证明有效.

关键词:
和长期短期记忆网络.组装器 组装器 组装器被动故障耐受控制器的控制器强大的控制器控制器.传感器发生故障

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相关实验视频

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科学领域:

  • 控制系统工程 控制系统工程
  • 在工程领域的人工智能.
  • 数据驱动的控制控制数据驱动的控制

背景情况:

  • 耐故障控制 (FTC) 对于系统稳定性和故障条件下的性能至关重要.
  • 传统的FTC方法通常依赖于复杂的诊断和过程模型.
  • 需要数据驱动的方法来简化容错性.

研究的目的:

  • 开发和验证一个新的数据驱动的耐故障控制系统.
  • 证明一个单一的长短期内存 (LSTM) 网络的有效性,用于集成故障诊断和控制重新配置.
  • 消除在FTC系统中对明确诊断和过程模型的要求.

主要方法:

  • 基于单一长期短期存储器 (LSTM) 网络的故障耐受性控制系统的实施.
  • 通过模拟和验证的数字双胞胎概念与MATLAB集成.
  • 在装配器案例研究中应用和测试无故障和故障传感器场景.

主要成果:

  • 基于LSTM的系统在出现故障时成功管理了控制重新配置.
  • 模拟在6553次代后实现了 [公式:参见文本] 的根平均平方误差 (RMSE).
  • 在无故障条件下达到92.81%的系统输出精度,在最坏的情况下达到67.16%的故障场景.

结论:

  • 拟议的数据驱动的LSTM-FTC系统有效地增强了故障期间控制系统的操作.
  • 在LSTM-FTC系统的无模型性质提供了相对于传统方法的显著优势.
  • 数字双胞胎方法促进了对耐故障控制策略的稳健模拟和验证.