Torsional vibration characteristics analysis and adaptive fixed‐time control of wind turbine drivetrain
Abstract The drivetrain has an important impact on the stability and reliability of wind turbines operating in complex conditions, which belongs to the electromechanical coupling system. This work studies the two domains of research on drivetrain vibration analysis and control method in detail. The...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
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Wiley
2023-12-01
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Series: | Energy Science & Engineering |
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Online Access: | https://doi.org/10.1002/ese3.1607 |
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author | Jianxiang Yang Feihang Zhou Jianbin Xiong Zhicheng Hou Jinliang Zhang Anle Mu |
author_facet | Jianxiang Yang Feihang Zhou Jianbin Xiong Zhicheng Hou Jinliang Zhang Anle Mu |
author_sort | Jianxiang Yang |
collection | DOAJ |
description | Abstract The drivetrain has an important impact on the stability and reliability of wind turbines operating in complex conditions, which belongs to the electromechanical coupling system. This work studies the two domains of research on drivetrain vibration analysis and control method in detail. The electromechanically coupled torsional vibration model is first established by considering the air gap magnetic field energy of the PMSG. Preliminary analysis in terms of Hamiltonian energy indicates that there is sufficient energy to sustain the exciting oscillation behaviors. Moreover, to reduce the vibration amplitude caused by wind speed or torsional stiffness, a novel adaptive fixed‐time control method is proposed to solve the issue of wind turbine drivetrain chaotic oscillation with uncertainties and disturbances. Furthermore, the proposed method not only can prevent the jumping and bifurcation of torsional vibration from happening, but also there are the advantages of the control scheme with high accuracy, fast convergence rate and strong robustness. For the fair comparison, three different control methods have been used to demonstrate the superiority of the control scheme by the simulation results. The research results can provide a theoretical basis for the parameter design and control of wind turbine drivetrain. |
first_indexed | 2024-03-08T23:32:30Z |
format | Article |
id | doaj.art-28be87739f5f427f8bab34e1cd882821 |
institution | Directory Open Access Journal |
issn | 2050-0505 |
language | English |
last_indexed | 2024-03-08T23:32:30Z |
publishDate | 2023-12-01 |
publisher | Wiley |
record_format | Article |
series | Energy Science & Engineering |
spelling | doaj.art-28be87739f5f427f8bab34e1cd8828212023-12-14T10:54:26ZengWileyEnergy Science & Engineering2050-05052023-12-0111124666468610.1002/ese3.1607Torsional vibration characteristics analysis and adaptive fixed‐time control of wind turbine drivetrainJianxiang Yang0Feihang Zhou1Jianbin Xiong2Zhicheng Hou3Jinliang Zhang4Anle Mu5School of Automation Guangdong Polytechnic Normal University Guangzhou ChinaSchool of Automation Xi'an University of Posts & Telecommunications Xi'an ChinaSchool of Automation Guangdong Polytechnic Normal University Guangzhou ChinaSchool of Automation Guangdong Polytechnic Normal University Guangzhou ChinaSchool of Automation Guangdong Polytechnic Normal University Guangzhou ChinaSchool of Mechanical and Precision Instrument Engineering Xi'an University of Technology Xi'an ChinaAbstract The drivetrain has an important impact on the stability and reliability of wind turbines operating in complex conditions, which belongs to the electromechanical coupling system. This work studies the two domains of research on drivetrain vibration analysis and control method in detail. The electromechanically coupled torsional vibration model is first established by considering the air gap magnetic field energy of the PMSG. Preliminary analysis in terms of Hamiltonian energy indicates that there is sufficient energy to sustain the exciting oscillation behaviors. Moreover, to reduce the vibration amplitude caused by wind speed or torsional stiffness, a novel adaptive fixed‐time control method is proposed to solve the issue of wind turbine drivetrain chaotic oscillation with uncertainties and disturbances. Furthermore, the proposed method not only can prevent the jumping and bifurcation of torsional vibration from happening, but also there are the advantages of the control scheme with high accuracy, fast convergence rate and strong robustness. For the fair comparison, three different control methods have been used to demonstrate the superiority of the control scheme by the simulation results. The research results can provide a theoretical basis for the parameter design and control of wind turbine drivetrain.https://doi.org/10.1002/ese3.1607adaptive techniqueelectromechanical couplingfixed‐time stabilityHamiltonian energytorsional vibrationwind turbine drivetrain |
spellingShingle | Jianxiang Yang Feihang Zhou Jianbin Xiong Zhicheng Hou Jinliang Zhang Anle Mu Torsional vibration characteristics analysis and adaptive fixed‐time control of wind turbine drivetrain Energy Science & Engineering adaptive technique electromechanical coupling fixed‐time stability Hamiltonian energy torsional vibration wind turbine drivetrain |
title | Torsional vibration characteristics analysis and adaptive fixed‐time control of wind turbine drivetrain |
title_full | Torsional vibration characteristics analysis and adaptive fixed‐time control of wind turbine drivetrain |
title_fullStr | Torsional vibration characteristics analysis and adaptive fixed‐time control of wind turbine drivetrain |
title_full_unstemmed | Torsional vibration characteristics analysis and adaptive fixed‐time control of wind turbine drivetrain |
title_short | Torsional vibration characteristics analysis and adaptive fixed‐time control of wind turbine drivetrain |
title_sort | torsional vibration characteristics analysis and adaptive fixed time control of wind turbine drivetrain |
topic | adaptive technique electromechanical coupling fixed‐time stability Hamiltonian energy torsional vibration wind turbine drivetrain |
url | https://doi.org/10.1002/ese3.1607 |
work_keys_str_mv | AT jianxiangyang torsionalvibrationcharacteristicsanalysisandadaptivefixedtimecontrolofwindturbinedrivetrain AT feihangzhou torsionalvibrationcharacteristicsanalysisandadaptivefixedtimecontrolofwindturbinedrivetrain AT jianbinxiong torsionalvibrationcharacteristicsanalysisandadaptivefixedtimecontrolofwindturbinedrivetrain AT zhichenghou torsionalvibrationcharacteristicsanalysisandadaptivefixedtimecontrolofwindturbinedrivetrain AT jinliangzhang torsionalvibrationcharacteristicsanalysisandadaptivefixedtimecontrolofwindturbinedrivetrain AT anlemu torsionalvibrationcharacteristicsanalysisandadaptivefixedtimecontrolofwindturbinedrivetrain |