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相关概念视频

Open and closed-loop control systems01:17

Open and closed-loop control systems

984
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...
984
Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

178
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...
178
PD Controller: Design01:26

PD Controller: Design

345
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,...
345
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

147
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
147
Feedback control systems01:26

Feedback control systems

416
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...
416
Controller Configurations01:22

Controller Configurations

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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...
149

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相关实验视频

Updated: Sep 9, 2025

A Rapid Method for Modeling a Variable Cycle Engine
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用于航空发动机的安全限制的短暂控制:基于数据的不同形态的ADP框架

Shuoshuo Liu1, Tao Sun1, Peng Li1

  • 1The Key Laboratory of Intelligent Control and Optimization for Industrial Equipment, Ministry of Education, Dalian University of Technology, Dalian, 116024, China.

ISA transactions
|September 4, 2025
PubMed
概括

一个新的自适应动态编程 (ADP) 框架通过转换约束来确保飞机发动机在转换过程中的安全性. 这种数据驱动的方法提高了控制性能,并缩短了加速时间.

关键词:
航空发动机系统数据驱动的控制不同形态安全限制暂时的最佳控制

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Last Updated: Sep 9, 2025

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科学领域:

  • 航空航天工程
  • 控制理论
  • 人工智能

背景情况:

  • 飞机发动机控制需要管理复杂的短暂条件,同时遵守严格的安全限制.
  • 现有的方法难以处理广泛的短暂变量和明确的约束执行.
  • 制定可靠的控制策略,以确保飞机发动机的安全和有效运行至关重要.

研究的目的:

  • 开发一个新的数据驱动的自适应动态编程 (ADP) 框架,用于安全限制的飞机发动机控制.
  • 在广泛的短暂操作中明确执行状态和输入安全约束.
  • 提高控制性能和减少航空发动机应用中的计算复杂性.

主要方法:

  • 使用不同形变换来消除明确的状态约束,用虚拟输入和重新制定问题.
  • 设计一个反向的过度触角屏障函数来处理输入约束,并应用贝尔曼的最佳性原理.
  • 采用数据驱动的政策代方法来近似汉密尔顿 - 雅各比 - 贝尔曼方程并推导出最佳控制定律.

主要成果:

  • 拟议的ADP框架成功执行了国家和输入安全约束.
  • 在JT9D发动机上的模拟显示了安全和快速的运行条件转换.
  • 与PID和PSO-MPC相比,该方法实现了优异的控制性能,将加速时间缩短了24.6%.

结论:

  • 开发的基于数据的不同形态ADP框架为安全限制的飞机发动机控制提供了可行和稳定的解决方案.
  • 这种方法在短暂条件下显著提高了控制性能和效率.
  • 这项研究为现代飞机发动机控制系统带来了实践上的进步.