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Design and Operation of Internet of Things-Based Monitoring Control System for Induction Machines

Author

Listed:
  • Maria G. Ioannides

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

  • Elias B. Koukoutsis

    (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)

  • Athanasios Papoutsidakis

    (Programize Hellas AE, 15561 Athens, Greece)

  • Vasilios Vikentios

    (Cosmote, 15124 Athens, Greece)

  • Nikolaos Apostolakis

    (School of Telematic Engineering, Universidad Carlos III de Madrid, Leganés, 28911 Madrid, Spain)

  • Michael E. Stamatakis

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

Abstract

The technology of Internet of Things (IoT) can be integrated with systems of electrical machines, for electric drives and wind and solar generation systems, and advance controlling and monitoring. This work presented recent research and progress of electrical drives with IoT technology, regarding design, operation, and trial of the control system for induction motors (ΙΜ). Also, the developed software code and hardware units for speed control were detailed and the results obtained from tests of performance of the ΙΜ integrated with IoT were described. With the IoT integration set-up, the operator can control the frequency values, obtain real-time feedback of the process, and monitor the system during varying loads in steady state. The operation of the ΙΜ system driven by inverter and its monitoring over IoT was proven to have high-accuracy speed control and increased efficiency at supersynchronous speeds. Thus, IoT establishes potentials to become a multipurpose tool in the industrial control of electric drives. This paper established one case study of an IoT set-up and control technique for IM, which is suitable for energy engineering experts in the field of IoT control of industrial equipment.

Suggested Citation

  • Maria G. Ioannides & Elias B. Koukoutsis & Anastasios P. Stamelos & Stylianos A. Papazis & Erofili E. Stamataki & Athanasios Papoutsidakis & Vasilios Vikentios & Nikolaos Apostolakis & Michael E. Stam, 2023. "Design and Operation of Internet of Things-Based Monitoring Control System for Induction Machines," Energies, MDPI, vol. 16(7), pages 1-22, March.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:7:p:3049-:d:1108771
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    References listed on IDEAS

    as
    1. Usha Sengamalai & Geetha Anbazhagan & T. M. Thamizh Thentral & Pradeep Vishnuram & Tahir Khurshaid & Salah Kamel, 2022. "Three Phase Induction Motor Drive: A Systematic Review on Dynamic Modeling, Parameter Estimation, and Control Schemes," Energies, MDPI, vol. 15(21), pages 1-39, November.
    2. Michael E. Stamatakis & Maria G. Ioannides, 2021. "State Transitions Logical Design for Hybrid Energy Generation with Renewable Energy Sources in LNG Ship," Energies, MDPI, vol. 14(22), pages 1-26, November.
    3. Hannan, M.A. & Ali, Jamal A. & Mohamed, Azah & Hussain, Aini, 2018. "Optimization techniques to enhance the performance of induction motor drives: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 1611-1626.
    4. Naser Hossein Motlagh & Mahsa Mohammadrezaei & Julian Hunt & Behnam Zakeri, 2020. "Internet of Things (IoT) and the Energy Sector," Energies, MDPI, vol. 13(2), pages 1-27, January.
    5. Stylianos A. Papazis, 2022. "Integrated Economic Optimization of Hybrid Thermosolar Concentrating System Based on Exact Mathematical Method," Energies, MDPI, vol. 15(19), pages 1-22, September.
    6. Mojtaba Moghimi & Jiannan Liu & Pouya Jamborsalamati & Fida Hasan Md Rafi & Shihanur Rahman & Jahangir Hossain & Sascha Stegen & Junwei Lu, 2018. "Internet of Things Platform for Energy Management in Multi-Microgrid System to Improve Neutral Current Compensation," Energies, MDPI, vol. 11(11), pages 1-22, November.
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