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相关概念视频

Control Systems: Applications01:25

Control Systems: Applications

611
Electrical engineering plays a pivotal role in our daily lives, with control systems at the heart of many applications, from home appliances to sophisticated space shuttles. Control systems manage and regulate the behavior of devices and processes, ensuring they function safely, correctly, and efficiently.
In modern vehicles, control systems manage various functions to enhance performance and safety. The steering wheel and accelerator are primary inputs in a car's control system. The...
611
Control System Problem01:21

Control System Problem

116
In an open-loop system, such as a basic thermostat, the poles of the transfer function influence the system's response but do not determine its stability. However, when feedback is introduced to form a closed-loop system, such as an advanced thermostat that adjusts heating based on room temperature, stability is governed by the new poles of the closed-loop transfer function.
When forming a closed-loop system, issues can arise if the poles cross into the unstable region, leading to potential...
116
Control Systems01:10

Control Systems

1.1K
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...
1.1K
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

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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...
106
Random Error01:04

Random Error

884
Random or indeterminate errors originate from various uncontrollable variables, such as variations in environmental conditions, instrument imperfections, or the inherent variability of the phenomena being measured. Usually, these errors cannot be predicted, estimated, or characterized because their direction and magnitude often vary in magnitude and direction even during consecutive measurements. As a result, they are difficult to eliminate. However, the aggregate effect of these errors can be...
884
Feedback control systems01:26

Feedback control systems

313
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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相关实验视频

Updated: Jul 2, 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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关于使用贝叶斯推理与数据增量控制中心空调系统传感器容错控制的研究.

Guannan Li1,2,3,4, Chongchong Wang1, Lamei Liu1

  • 1School of Urban Construction, Wuhan University of Science and Technology, Wuhan 430065, China.

Sensors (Basel, Switzerland)
|February 24, 2024
PubMed
概括

本研究介绍了一种现场选择性增量校准 (ISIC) 策略,以改善HVAC系统的故障耐受性控制 (FTC) 模型. 通过减少能源消耗和预测不满,ISIC提高了系统性能.

关键词:
数据增量是指数据的增量.有故障耐受性的控制器.供暖,通风和空调 (HVAC) 系统多重线性回归贝叶斯推理传感器 传感器 传感器

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科学领域:

  • 建筑科学 建筑科学
  • 控制工程 控制工程 控制工程
  • 能源系统 能源系统

背景情况:

  • 对于HVAC系统的数据驱动故障耐受性控制 (FTC) 模型受到系统信息不足的阻碍.
  • 准确的传感器数据对于有效的FTC模型性能至关重要.

研究的目的:

  • 为HVAC系统提出和评估一个现场选择性增量校准 (ISIC) 策略.
  • 评估ISIC在传感器故障条件下对FTC模型性能的影响.
  • 分析数据质量,数量和变量数量对FTC结果的影响.

主要方法:

  • 在室内空气恒温器 (Ttz1),供应空气温度 (Tsa) 和冷却水供应空气温度 (Tchws) 传感器中引入了故障.
  • 实施了用于传感器校准的ISIC策略.
  • 评估系统性能变化,包括能源消耗和预测的百分比不满.
  • 分析了数据质量 (噪音),数据量和变量数量对FTC结果的影响.

主要成果:

  • 通过ISIC战略,Ttz1传感器的系统能耗降低了2.98%,Tsa传感器的系统能耗降低了3.72%.
  • 预测的百分比不满为Ttz1降低了0.67%,Tsa传感器降低了0.63%.
  • 通过低传感器噪音,足够的数据量 (Ttz1为7天,Tsa/Tchws为14天) 和适当的变量选择,实现了ISIC的最佳FTC性能.

结论:

  • ISIC战略有效地提高了HVAC系统中数据驱动的FTC模型的性能.
  • 数据质量,数量和变量选择是影响基于ISIC的FTC成功的关键因素.
  • ISIC提供了一种可行的解决方案,以提高中央空调系统的建筑物中的能源效率和乘客舒适度.