Experimental Educational System of AC Electric Drives with Internet of Things

Stamelos, Anastasios P.; Papoutsidakis, Athanasios; Vikentios, Vasilios; Papazis, Stylianos A.; Ioannides, Maria G.

doi:10.1109/icelmach.2018.8506991

Cited by 9 publications

(13 citation statements)

References 2 publications

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“…The control system of induction machine, if connected to IoT, avoids the wirebound scheme and sends and receive commands using the internet. In such cases, sensors are required to generate feedback data for IoT-based control, [19].…”

Section: Development Of Energy Engineering Education With Iotmentioning

confidence: 99%

IoT Monitoring System for Applications with Renewable Energy Generation and Electric Drives

Ioanides¹,

Stamelos²,

Papazis³

et al. 2024

RE&PQJ

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nternet of Things IoT developed for monitoring, control, and management of sectors such as Smart Cities, Energy, Environment, Transport, Manufacture, Industrial Automation, Maritime, Healthcare, Education, etc, by interconnecting devices over internet. New sectors emerged in renewable energy systems, industrial motion drives, sensors and actuators. This article presents the design, and development of specific IoT applications for wind energy generating units, and electric drives. IoT technologies in the control systems of electric machines, mainly in applications of motor drives, and wind energy generating systems, contribute to improved monitoring, and management of performance, and to possible savings of energy. The experimental configurations upgrade laboratory infrastructure and offer new teaching and research perspectives to engineering education.

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Section: Development Of Energy Engineering Education With Iotmentioning

confidence: 99%

IoT Monitoring System for Applications with Renewable Energy Generation and Electric Drives

Ioanides¹,

Stamelos²,

Papazis³

et al. 2024

RE&PQJ

View full text Add to dashboard Cite

show abstract

“…The IoT-based real-time monitoring acquires data remotely, visualizes accurately the data and parameters which are not easy to be accessed, and improves the operating process. Various aspects of electric drive control have already been investigated and experimentally tested, such as scalar control of cage rotor induction motors [21,22] and double fed induction motors [23], using Raspberry Pi microcomputers [24], Arduinos microcontrollers [24], software, and IoT connection, and their published results have been published to be used for further analysis and comparison [24].…”

Section: Control System Of Induction Machine With Iotmentioning

confidence: 99%

“…In various applications, electric machines are installed and function in two modes using similar basic equipment, but in different settings and connections. They can operate either as electric motors for industrial loads [21,22,24] or as electric generators [26][27][28], which are preferred in RES installations [27], and mainly in WECS [28].…”

Section: Control System Of Induction Machine With Iotmentioning

confidence: 99%

“…IoT has been installed in electric machine applications with electric drive control: the induction motor control system that communicates with the IoT, obtains feedback data from sensors, and receives commands over the internet [24,39]. The project [40] designs, implements, and tests an application for monitoring induction motors via IoT, including remote control of their operation, receiving commands, and transmitting feedback information and measurements over the internet to a database.…”

Section: Control System Of Induction Machine With Iotmentioning

confidence: 99%

“…This research was developed as part of broader experiments conducted in the authors' Electric Driver Control Laboratory. For many years this laboratory has been engaged in the study of remote control of the performance of electric machines via the Internet [24,39,40].…”

Section: Control System Of Induction Machine With Iotmentioning

confidence: 99%

See 2 more Smart Citations

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

Ioannides,

Stamelos,

Papazis

et al. 2024

Energies

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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.

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Emerging Energy Engineering Education on the Way to Employment

Papazis

Ioannides²

2022

Lecture Notes in Networks and Systems

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Experimental Educational System of AC Electric Drives with Internet of Things

Cited by 9 publications

References 2 publications

IoT Monitoring System for Applications with Renewable Energy Generation and Electric Drives

IoT Monitoring System for Applications with Renewable Energy Generation and Electric Drives

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

Emerging Energy Engineering Education on the Way to Employment

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