Experimental Study of an Industrial Data Transmission Network in the Automatic Control System of a Wind Turbine
This article explores and optimizes network technologies for wind energy systems, focusing on the RS-485 interface to ensure reliable data transmission in extreme conditions. The study aims to address the impact of various distortions on data quality and wind turbine management. A system was propose...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-10-01
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| Series: | Machines |
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| Online Access: | https://www.mdpi.com/2075-1702/12/11/746 |
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| author | Alina Fazylova Baurzhan Tultayev Teodor Iliev Ivaylo Stoyanov Mirey Kabasheva Selahattin Kosunalp |
| author_facet | Alina Fazylova Baurzhan Tultayev Teodor Iliev Ivaylo Stoyanov Mirey Kabasheva Selahattin Kosunalp |
| author_sort | Alina Fazylova |
| collection | DOAJ |
| description | This article explores and optimizes network technologies for wind energy systems, focusing on the RS-485 interface to ensure reliable data transmission in extreme conditions. The study aims to address the impact of various distortions on data quality and wind turbine management. A system was proposed with two wind turbines, each equipped with a Raspberry Pi 4, connected to sensors measuring temperature, vibration, and wind speed. The research examined how data transmission rates affect signal shape, calculating the distortion coefficient. At 460,800 baud, the signal was almost completely distorted, with significant amplitude loss. The distortion coefficients were 1.84 for logic ‘1’ and 1.92 for logic ‘0’. The optimal speed to minimize distortions was found to be 19,200 baud, providing the most stable signal. Additionally, temperature significantly impacted transmission quality, highlighting the need to consider climatic conditions in system design. The findings and methods can help improve existing data transmission systems and enhance wind turbine performance. |
| format | Article |
| id | doaj-art-d807648c4b644867aa69562e784fb19a |
| institution | DOAJ |
| issn | 2075-1702 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Machines |
| spelling | doaj-art-d807648c4b644867aa69562e784fb19a2025-08-20T02:47:59ZengMDPI AGMachines2075-17022024-10-01121174610.3390/machines12110746Experimental Study of an Industrial Data Transmission Network in the Automatic Control System of a Wind TurbineAlina Fazylova0Baurzhan Tultayev1Teodor Iliev2Ivaylo Stoyanov3Mirey Kabasheva4Selahattin Kosunalp5Department of Electronics and Robotics, Almaty University of Power Engineering and Telecommunications named after G.Daukeev, Almaty 050013, KazakhstanDepartment of Transport Equipment and Organization of Transportation, LB Goncharov Kazakh Automobile and Road Institute, pr. Rayymbeka, 417, Almaty 050061, KazakhstanDepartment of Telecommunications, University of Ruse, 8 Studentska Str., 7004 Ruse, BulgariaDepartment of Electric Power Engineering, University of Ruse, 8 Studentska Str., 7004 Ruse, BulgariaDepartment of Transport Equipment and Organization of Transportation, LB Goncharov Kazakh Automobile and Road Institute, pr. Rayymbeka, 417, Almaty 050061, KazakhstanDepartment of Software Engineering, Bandırma Onyedi Eylül University, Bandırma 10200, TurkeyThis article explores and optimizes network technologies for wind energy systems, focusing on the RS-485 interface to ensure reliable data transmission in extreme conditions. The study aims to address the impact of various distortions on data quality and wind turbine management. A system was proposed with two wind turbines, each equipped with a Raspberry Pi 4, connected to sensors measuring temperature, vibration, and wind speed. The research examined how data transmission rates affect signal shape, calculating the distortion coefficient. At 460,800 baud, the signal was almost completely distorted, with significant amplitude loss. The distortion coefficients were 1.84 for logic ‘1’ and 1.92 for logic ‘0’. The optimal speed to minimize distortions was found to be 19,200 baud, providing the most stable signal. Additionally, temperature significantly impacted transmission quality, highlighting the need to consider climatic conditions in system design. The findings and methods can help improve existing data transmission systems and enhance wind turbine performance.https://www.mdpi.com/2075-1702/12/11/746RS-485 interfacedata transmissionwind turbinedistortion coefficienttransmission speed |
| spellingShingle | Alina Fazylova Baurzhan Tultayev Teodor Iliev Ivaylo Stoyanov Mirey Kabasheva Selahattin Kosunalp Experimental Study of an Industrial Data Transmission Network in the Automatic Control System of a Wind Turbine Machines RS-485 interface data transmission wind turbine distortion coefficient transmission speed |
| title | Experimental Study of an Industrial Data Transmission Network in the Automatic Control System of a Wind Turbine |
| title_full | Experimental Study of an Industrial Data Transmission Network in the Automatic Control System of a Wind Turbine |
| title_fullStr | Experimental Study of an Industrial Data Transmission Network in the Automatic Control System of a Wind Turbine |
| title_full_unstemmed | Experimental Study of an Industrial Data Transmission Network in the Automatic Control System of a Wind Turbine |
| title_short | Experimental Study of an Industrial Data Transmission Network in the Automatic Control System of a Wind Turbine |
| title_sort | experimental study of an industrial data transmission network in the automatic control system of a wind turbine |
| topic | RS-485 interface data transmission wind turbine distortion coefficient transmission speed |
| url | https://www.mdpi.com/2075-1702/12/11/746 |
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