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Related Concept Videos

Control Systems01:10

Control Systems

1.2K
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...
1.2K
Control Systems: Applications01:25

Control Systems: Applications

638
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...
638
Feedback control systems01:26

Feedback control systems

332
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...
332
Open and closed-loop control systems01:17

Open and closed-loop control systems

785
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...
785
Controller Configurations01:22

Controller Configurations

115
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...
115
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

122
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...
122

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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Understanding the Role of Sensor Optimisation in Complex Systems.

Burak Suslu1, Fakhre Ali1, Ian K Jennions1

  • 1Integrated Vehicle Health Management Centre, School of Aerospace, Transport and Manufacturing, Cranfield University, Bedfordshire MK43 0AL, UK.

Sensors (Basel, Switzerland)
|September 28, 2023
PubMed
Summary
This summary is machine-generated.

Optimizing sensor networks is crucial for complex systems, enabling better health assessment. This review offers guidelines for sensor selection, placement, and operation to maximize information gain.

Keywords:
IVHMaircraft health managementcomplex systemscost functionsensor optimisation

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Area of Science:

  • Engineering
  • Computer Science

Background:

  • Complex systems require robust health monitoring.
  • Sensor networks are vital for data acquisition in integrated vehicle health management (IVHM).
  • Optimizing sensor networks is a prerequisite for effective asset condition assessment.

Purpose of the Study:

  • To provide a comprehensive guideline for sensor network optimization in complex systems.
  • To introduce multi-perspective cost functions for sensor selection, placement, data processing, and operation.
  • To classify existing literature and enhance understanding of optimal sensor networks from an information-gain perspective.

Main Methods:

  • Literature review and classification.
  • Development of a taxonomy and concept map for sensor optimization.
  • Discussion of optimization techniques and cost function quantification.

Main Results:

  • A structured overview of sensor network optimization for complex systems.
  • Versatile cost functions for various optimization aspects.
  • A classification of relevant literature, emphasizing information gain.

Conclusions:

  • Effective sensor network optimization is key to improving integrated vehicle health management.
  • The provided guidelines and taxonomy aid practitioners in designing optimal sensor networks.
  • A focus on information gain offers a novel perspective for sensor network design.