Electric Drive with an Adaptive Controller and Wireless Communication System
In this paper, the problem of the remote control of electric drives with a complex mechanical structure is discussed. Oscillations of state variables and control precision are the main issues found in such applications. The article proposes a smart, IoT-enabled controller, which allows remote commun...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-01-01
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| Series: | Future Internet |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1999-5903/15/2/49 |
| _version_ | 1797620868938989568 |
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| author | Mateusz Malarczyk Mateusz Zychlewicz Radoslaw Stanislawski Marcin Kaminski |
| author_facet | Mateusz Malarczyk Mateusz Zychlewicz Radoslaw Stanislawski Marcin Kaminski |
| author_sort | Mateusz Malarczyk |
| collection | DOAJ |
| description | In this paper, the problem of the remote control of electric drives with a complex mechanical structure is discussed. Oscillations of state variables and control precision are the main issues found in such applications. The article proposes a smart, IoT-enabled controller, which allows remote communication with a drive. To solve the problem of speed oscillations and to make the system robust to parameter uncertainty, an adaptive controller with two neural networks is designed. First, numerical tests are conducted in a Matlab/Simulink environment to examine the operation of the proposed control strategy. Afterwards, the obtained results are verified in a laboratory setup equipped with a 0.5 kW electric motor. Remote access is provided by a low-cost, ARM-based ESP32 microcontroller. Usually, virtual instruments used to communicate with remote devices require specific software, which may be expensive and pose compatibility problems. Therefore, the main contribution of the article is the creation of a low-cost, web-based Human-Machine Interface (HMI) with an asynchronous server utility provided by the ESP32 that allows remote control and data acquisition of electric drive state variables. |
| first_indexed | 2024-03-11T08:47:42Z |
| format | Article |
| id | doaj.art-37f6f8a131554fa6adcd4e6c0bf2a00a |
| institution | Directory Open Access Journal |
| issn | 1999-5903 |
| language | English |
| last_indexed | 2024-03-11T08:47:42Z |
| publishDate | 2023-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Future Internet |
| spelling | doaj.art-37f6f8a131554fa6adcd4e6c0bf2a00a2023-11-16T20:37:35ZengMDPI AGFuture Internet1999-59032023-01-011524910.3390/fi15020049Electric Drive with an Adaptive Controller and Wireless Communication SystemMateusz Malarczyk0Mateusz Zychlewicz1Radoslaw Stanislawski2Marcin Kaminski3Department of Electrical Machines, Drives and Measurements, Faculty of Electrical Engineering, Wroclaw University of Science and Technology, 19 Smoluchowskiego St., 50-372 Wroclaw, PolandDepartment of Electrical Machines, Drives and Measurements, Faculty of Electrical Engineering, Wroclaw University of Science and Technology, 19 Smoluchowskiego St., 50-372 Wroclaw, PolandDepartment of Electrical Machines, Drives and Measurements, Faculty of Electrical Engineering, Wroclaw University of Science and Technology, 19 Smoluchowskiego St., 50-372 Wroclaw, PolandDepartment of Electrical Machines, Drives and Measurements, Faculty of Electrical Engineering, Wroclaw University of Science and Technology, 19 Smoluchowskiego St., 50-372 Wroclaw, PolandIn this paper, the problem of the remote control of electric drives with a complex mechanical structure is discussed. Oscillations of state variables and control precision are the main issues found in such applications. The article proposes a smart, IoT-enabled controller, which allows remote communication with a drive. To solve the problem of speed oscillations and to make the system robust to parameter uncertainty, an adaptive controller with two neural networks is designed. First, numerical tests are conducted in a Matlab/Simulink environment to examine the operation of the proposed control strategy. Afterwards, the obtained results are verified in a laboratory setup equipped with a 0.5 kW electric motor. Remote access is provided by a low-cost, ARM-based ESP32 microcontroller. Usually, virtual instruments used to communicate with remote devices require specific software, which may be expensive and pose compatibility problems. Therefore, the main contribution of the article is the creation of a low-cost, web-based Human-Machine Interface (HMI) with an asynchronous server utility provided by the ESP32 that allows remote control and data acquisition of electric drive state variables.https://www.mdpi.com/1999-5903/15/2/49IoTremote controladaptive speed controlneural networks |
| spellingShingle | Mateusz Malarczyk Mateusz Zychlewicz Radoslaw Stanislawski Marcin Kaminski Electric Drive with an Adaptive Controller and Wireless Communication System Future Internet IoT remote control adaptive speed control neural networks |
| title | Electric Drive with an Adaptive Controller and Wireless Communication System |
| title_full | Electric Drive with an Adaptive Controller and Wireless Communication System |
| title_fullStr | Electric Drive with an Adaptive Controller and Wireless Communication System |
| title_full_unstemmed | Electric Drive with an Adaptive Controller and Wireless Communication System |
| title_short | Electric Drive with an Adaptive Controller and Wireless Communication System |
| title_sort | electric drive with an adaptive controller and wireless communication system |
| topic | IoT remote control adaptive speed control neural networks |
| url | https://www.mdpi.com/1999-5903/15/2/49 |
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