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Control Systems01:10

Control Systems

1.9K
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...
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Control Systems: Applications01:25

Control Systems: Applications

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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...
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Feedback control systems01:26

Feedback control systems

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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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Open and closed-loop control systems01:17

Open and closed-loop control systems

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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...
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Transfer Function in Control Systems01:21

Transfer Function in Control Systems

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The transfer function is a fundamental concept in the analysis and design of linear time-invariant (LTI) systems. It offers a concise way to understand how a system responds to different inputs in the frequency domain. It serves as a bridge between the time-domain differential equations that describe system dynamics and the frequency-domain representation that facilitates easier manipulation and analysis.
To derive the transfer function, consider a general nth-order linear time-invariant...
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Conservation of Energy in Control Volume01:14

Conservation of Energy in Control Volume

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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:
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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Protocol for Energy-Efficiency in Networked Control Systems Based on WSN.

Jonathan M Palma1, Cristian Duran-Faundez2, Leonardo de P Carvalho3

  • 1School of Electrical and Computer Engineering, University of Campinas-UNICAMP Campinas, São Paulo 13083-852, Brazil. jpalmao@dt.fee.unicamp.br.

Sensors (Basel, Switzerland)
|August 9, 2018
PubMed
Summary
This summary is machine-generated.

This study introduces a novel communication protocol for Wireless Sensor Networks (WSN) to balance energy consumption and control system stability. It uses adaptive retransmission heuristics based on node battery levels for efficient multi-hop control.

Keywords:
Hop-by-Hop transport schemeWireless Sensor Networksnetworkedcontrol systemspacket losssemi-reliable communication protocol

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Area of Science:

  • Control Systems Engineering
  • Wireless Sensor Networks
  • Network Protocols

Background:

  • Output-feedback control systems require reliable communication, often challenged by network constraints.
  • Wireless Sensor Networks (WSN) face limitations in energy and stability, especially in multi-hop configurations.
  • Balancing network energy consumption with closed-loop system performance is a critical challenge.

Purpose of the Study:

  • To propose a new communication protocol for output-feedback control over multi-hop WSNs.
  • To simultaneously address conflicting requirements of network energy efficiency and closed-loop system stability (H∞ norm).
  • To develop a systematic method for modeling packet loss and synthesizing controllers for WSNs.

Main Methods:

  • A Hop-by-Hop transport scheme is employed for the communication protocol.
  • Three heuristics are proposed to manage retransmissions based on node battery voltage.
  • A Markov jump model is utilized to represent packet loss, enabling systematic controller synthesis.
  • Output-feedback controllers are synthesized in two steps: observer filter and state-feedback controller.

Main Results:

  • The proposed protocol effectively balances energy consumption and control system performance.
  • The Markov jump model provides a systematic approach for controller design under packet loss.
  • Numerical experiments on a coupled tanks plant demonstrate the protocol's efficiency and applicability.
  • Comparative analysis highlights the performance of different implementation heuristics.

Conclusions:

  • The novel communication protocol offers a viable solution for output-feedback control in WSNs.
  • The developed methods enhance the robustness and efficiency of control systems operating over wireless networks.
  • The study provides practical insights into managing network resources and ensuring system stability.