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...

Full description

Bibliographic Details
Main Authors: Jianxiang Yang, Feihang Zhou, Jianbin Xiong, Zhicheng Hou, Jinliang Zhang, Anle Mu
Format: Article
Language:English
Published: Wiley 2023-12-01
Series:Energy Science & Engineering
Subjects:
Online Access:https://doi.org/10.1002/ese3.1607
_version_ 1797391429171937280
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