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Internet of Things-Based Control of Induction Machines: Specifics of Electric Drives and Wind Energy Conversion Systems

Author

Listed:
  • Maria G. Ioannides

    (School of Electrical and Computer Engineering, National Technical University of Athens, 15780 Athens, Greece)

  • Anastasios P. Stamelos

    (School of Electrical and Computer Engineering, National Technical University of Athens, 15780 Athens, Greece)

  • Stylianos A. Papazis

    (Department of Electrical and Computer Engineering, School of Engineering, Democritus University of Thrace, 67100 Xanthi, Greece)

  • Erofili E. Stamataki

    (School of Electrical and Computer Engineering, National Technical University of Athens, 15780 Athens, Greece)

  • Michael E. Stamatakis

    (School of Electrical and Computer Engineering, National Technical University of Athens, 15780 Athens, Greece)

Abstract

The Internet of Things (IoT) is introduced in systems with electrical machines, such as in electric drive systems, wind energy generating systems, and small and special machines, to remote monitor and control the operation for data acquisition and analysis. These systems can integrate with the equipment and retrofit the existing installations. At the end of the control loops there are always motors, or actuators, of big or small ratings, of rotating or linear movements, electrical or nonelectrical, which must produce the motion. This article analyses selected aspects of research and applications of IoT-based control in electric drive systems and of wind energy conversion systems with induction machines. Various applications and study cases of control systems of electrical machines with IoT technology are described. With the IoT-based control of induction machine systems operators can remotely monitor parameters and obtain accurate real-time feedback during fast changing duty cycle operation. Thus, IoT creates multipurpose instruments in the remote control of induction machines. The paper offers a comprehensive analysis of IoT-based control applications in the field of induction machines, with technical details of design, construction, experimental testing, and prototyping, that are useful to energy engineering specialists in the sector of electric drives and wind energy conversion systems.

Suggested Citation

  • Maria G. Ioannides & Anastasios P. Stamelos & Stylianos A. Papazis & Erofili E. Stamataki & Michael E. Stamatakis, 2024. "Internet of Things-Based Control of Induction Machines: Specifics of Electric Drives and Wind Energy Conversion Systems," Energies, MDPI, vol. 17(3), pages 1-28, January.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:3:p:645-:d:1329015
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    References listed on IDEAS

    as
    1. S. Charles Raja & A. C. Vishnu Dharssini & J. Jeslin Drusila Nesmalar & T. Karthick, 2023. "Deployment of IoT-Based Smart Demand-Side Management System with an Enhanced Degree of User Comfort at an Educational Institution," Energies, MDPI, vol. 16(3), pages 1-24, January.
    2. Liang, Guoyuan & Su, Yahao & Wu, Xinyu & Ma, Jiajun & Long, Huan & Song, Zhe, 2023. "Abnormal data cleaning for wind turbines by image segmentation based on active shape model and class uncertainty," Renewable Energy, Elsevier, vol. 216(C).
    3. Sajib Roy & Md Humayun Kabir & Md Salauddin & Miah A. Halim, 2022. "An Electromagnetic Wind Energy Harvester Based on Rotational Magnet Pole-Pairs for Autonomous IoT Applications," Energies, MDPI, vol. 15(15), pages 1-14, August.
    4. Gleydson de Oliveira Cavalcanti & Handson Claudio Dias Pimenta, 2023. "Electric Energy Management in Buildings Based on the Internet of Things: A Systematic Review," Energies, MDPI, vol. 16(15), pages 1-29, August.
    Full references (including those not matched with items on IDEAS)

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