Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Second Order systems I01:20

Second Order systems I

561
A servo system exemplifies a second-order system, featuring a proportional controller and load elements that ensure the output position aligns with the input position. The relationship between these components is described by a second-order differential equation. Applying the Laplace transform under zero initial conditions yields the transfer function, showing how inputs are converted to outputs in the system.
By reinterpreting the system, one can derive the closed-loop transfer function, which...
561
Second Order systems II01:18

Second Order systems II

385
In an underdamped second-order system, where the damping ratio ζ is between 0 and 1, a unit-step input results in a transfer function that, when transformed using the inverse Laplace method, reveals the output response. The output exhibits a damped sinusoidal oscillation, and the difference between the input and output is termed the error signal. This error signal also demonstrates damped oscillatory behavior. Eventually, as the system reaches a steady state, the error diminishes to zero.
385
Observational Learning01:12

Observational Learning

832
Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning...
832
Open and closed-loop control systems01:17

Open and closed-loop control systems

1.6K
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...
1.6K
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

389
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 of...
389
Conservation of Energy in Control Volume01:14

Conservation of Energy in Control Volume

1.1K
Consider a turbine operating under steady-flow conditions. The control volume is drawn around the turbine, with fluid entering at one point and exiting at another. The turbine extracts energy from the fluid, which performs mechanical work (shaft work).
For steady flow systems, the time derivative of the stored energy becomes zero since there is no energy accumulation within the control volume. This simplifies the energy equation to:
1.1K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Machine Learning-Based Drug Susceptibility Prediction from Candida Genomic Data.

International journal of antimicrobial agents·2026
Same author

Climate Change Restructures the Suitable Habitat of <i>Bambusa emeiensis</i> in Southwestern China: Disproportionate Core-Habitat Loss and Divergent Centroid Shifts.

Plants (Basel, Switzerland)·2026
Same author

Hyaluronic acid-modified PLGA nanoparticles for enhanced ocular drug delivery.

Journal of microencapsulation·2026
Same author

Long-term prognostic comparison of surgery followed by adjuvant chemoradiotherapy versus definitive chemoradiotherapy in T4N0-3M0 esophageal squamous cell carcinoma: a single-center retrospective cohort study.

Frontiers in oncology·2026
Same author

Efficacy of surgery versus definitive chemoradiotherapy following neoadjuvant chemotherapy in T4 esophageal squamous cell carcinoma: a retrospective cohort analysis.

Frontiers in oncology·2026
Same author

Cascade sliding mode control with lumped disturbance compensation for acceleration tracking of electrohydraulic-pneumatic actuators.

ISA transactions·2026
Same journal

Stackelberg differential game-based fuzzy adaptive hierarchical optimal control for a nonlinear system with unknown dynamics.

ISA transactions·2026
Same journal

Composite fault-tolerant predictive control strategy for PMSM demagnetization faults.

ISA transactions·2026
Same journal

Bias-compensated Q-learning for optimal tracking control under denial-of-service attacks.

ISA transactions·2026
Same journal

Motion prediction for leader manipulator of teleoperation system with large time delay based on inverse optimal control.

ISA transactions·2026
Same journal

Neural network parameter identification-based prescribed-time adaptive control for morphing glide aircraft.

ISA transactions·2026
Same journal

Nonlinear system-guided continuous-time generalization for cross-aircraft engine state monitoring.

ISA transactions·2026
查看所有相关文章

相关实验视频

Updated: Jan 15, 2026

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator
06:04

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator

Published on: February 14, 2025

1.0K

基于虚拟惯性调节的弱微电网的高阶观察员,使用深度序列学习.

Shuguang Li1, Shupeng Song1, Mai The Vu2

  • 1School of Computer Science and Technology, Shandong Technology and Business University, Yantai 264005, China.

ISA transactions
|October 12, 2025
PubMed
概括
此摘要是机器生成的。

这项研究通过使用自适应性虚拟频率控制器来增强具有可持续能源的低惯性混合微电网. 这种新方法改善了系统惯性和减压,在动态稳定性方面表现优于传统方法.

关键词:
储能系统 (ESS) 是一种储能系统.高级扩展性干扰观察员 (HOEDO)混合式微电网系统 (HMGS) 是一种微电网系统.顺序的行动价值学习 (SAVL)可持续能源资源 (SERs) 是指可持续的能源资源.虚拟频率控制 (VFC) 是指虚拟的频率控制.

更多相关视频

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

12.1K
An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces
10:51

An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces

Published on: March 10, 2011

14.2K

相关实验视频

Last Updated: Jan 15, 2026

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator
06:04

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator

Published on: February 14, 2025

1.0K
The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

12.1K
An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces
10:51

An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces

Published on: March 10, 2011

14.2K

科学领域:

  • 电气工程 电气工程
  • 控制系统 控制系统
  • 整合可再生能源的整合

背景情况:

  • 在混合微电网系统 (HMGS) 中,可持续能源资源 (SER) 的高透率减少了由于电力电子接口的惯性.
  • 在HMGS的低惯性导致频率不稳定性和电网管理的挑战.

研究的目的:

  • 在低惯性HMGS中引入适应性虚拟频率控制器 (VFC) 用于能量存储系统 (ESS).
  • 为了提高HMGS的动态稳定性和响应能力,具有高的SER透率.

主要方法:

  • 实施高级扩展干扰观察员 (HOEDO) 进行干扰估计和补偿.
  • 应用深度顺序动作值学习 (SAVL) 进行无监督的控制器参数调整.
  • 在控制循环中模拟虚拟转子动态,以提高响应性.

主要成果:

  • 可适应的VFC有效地改善了系统惯性和减压特性.
  • 与传统的虚拟惯性控制方法相比,拟议的方案显示出更高的性能.
  • 控制器在不同的条件下表现出更快的动态响应和抑制波动.

结论:

  • 使用HOEDO和深度SAVL的自适应VFC为稳定低惯性HMGS提供了强大的解决方案.
  • 这种方法提高了电网的弹性,并促进了SERs的更高的整合.
  • 该方法对微电网稳定性的现有控制策略提供了显著的进步.