Internet of Things-Based Control of Induction Machines: Specifics of Electric Drives and Wind Energy Conversion Systems
Maria G. Ioannides (),
Anastasios P. Stamelos,
Stylianos A. Papazis,
Erofili E. Stamataki and
Michael E. Stamatakis
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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
Energies, 2024, vol. 17, issue 3, 1-28
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.
Keywords: Internet of Things; electric drive systems; wind energy conversion systems; induction machines; microprocessors; sensors (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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