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Open and closed-loop control systems01:17

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Feedback control systems are categorized in various ways based on their design, analysis, and signal types.
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The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
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Secured and Deterministic Closed-Loop IoT System Architecture for Sensor and Actuator Networks.

Hyeon-Su Kim1, Yu-Jin Park2, Soon-Ju Kang1

  • 1School of Electronics Engineering, College of IT Engineering, Kyungpook National University, 80 Daehakro, Bukgu, Daegu 41566, Korea.

Sensors (Basel, Switzerland)
|May 28, 2022
PubMed
Summary

This study introduces a novel IoT system architecture using Field Edge Units (FEUs) and Current Sensing Tags (CSTs) for real-time, safe control in closed-loop environments like smart farms.

Keywords:
IoT environmentclosed-loopsensor-actuator network

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Area of Science:

  • Internet of Things (IoT)
  • Control Systems Engineering
  • Embedded Systems

Background:

  • Significant advancements in sensors, actuators, and wireless communication have enabled sophisticated IoT environments.
  • Existing cloud-level control systems face challenges in real-time determinism and safety due to communication overheads and security vulnerabilities.
  • Remote control of actuators in cloud-based IoT systems poses risks of malfunction and external hacking.

Purpose of the Study:

  • To propose a novel system architecture for closed-loop IoT environments that ensures real-time performance and safety.
  • To address the limitations of cloud-centric control models in deterministic and secure operations.
  • To design a versatile architecture applicable to diverse sensing and actuating applications.

Main Methods:

  • Development of a specialized system architecture utilizing Field Edge Units (FEUs) and Current Sensing Tags (CSTs).
  • Integration of FEUs and CSTs to create a robust closed-loop IoT framework.
  • Evaluation of the proposed architecture through a practical smart farm application.

Main Results:

  • The proposed architecture effectively meets real-time performance and safety requirements in a closed-loop IoT setting.
  • Demonstrated feasibility and applicability in a smart farm use case.
  • Successfully addressed communication overhead and safety concerns inherent in cloud-level control.

Conclusions:

  • The novel architecture provides a reliable solution for real-time control and enhanced safety in IoT applications.
  • The FEU and CST-based system offers a practical and adaptable approach for various closed-loop sensing and actuating scenarios.
  • This research contributes to the development of more secure and deterministic IoT control systems.