IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v180y2021icp68-82.html
   My bibliography  Save this article

Model free adaptive control of large and flexible wind turbine rotors with controllable flaps

Author

Listed:
  • Li, Juan
  • Wang, Yinan
  • Zhao, Xiaowei
  • Qi, Pengyuan

Abstract

This paper investigates the dynamic load alleviation in large and flexible horizontal axis wind turbine rotors with trailing edge flaps, actuated through a novel proportional-derivative model-free adaptive control (PD-MFAC) system. First an aeroservoelastic wind turbine model is developed, which is the combination of a structural model for the tower and blades represented by geometrically non-linear composite beams, and an aerodynamic model for the rotors using an unsteady strip-theory airfoil model. Then three independent model-free controllers are developed to actuate the trailing-edge flaps mounted on three blades, using the blade root-bending moment (RBM) as control input. Comparison is given by an H-infinity (H∞) reference controller and a Gain-scheduled proportional-integral (GS-PI) controller. Simulation results show that the MFAC flap controller provides more effective load alleviation performance in blade root-bending moment than the H∞ and the GS-PI flap controllers, and it also exhibits marked reductions in blade tip deflection (BTD), in the presence of external disturbances.

Suggested Citation

  • Li, Juan & Wang, Yinan & Zhao, Xiaowei & Qi, Pengyuan, 2021. "Model free adaptive control of large and flexible wind turbine rotors with controllable flaps," Renewable Energy, Elsevier, vol. 180(C), pages 68-82.
    • Handle: RePEc:eee:renene:v:180:y:2021:i:c:p:68-82
    DOI: 10.1016/j.renene.2021.08.050
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148121012106
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2021.08.050?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Md Zishan Akhter & Farag Khalifa Omar, 2021. "Review of Flow-Control Devices for Wind-Turbine Performance Enhancement," Energies, MDPI, vol. 14(5), pages 1-35, February.
    2. Civelek, Zafer & Lüy, Murat & Çam, Ertuğrul & Mamur, Hayati, 2017. "A new fuzzy logic proportional controller approach applied to individual pitch angle for wind turbine load mitigation," Renewable Energy, Elsevier, vol. 111(C), pages 708-717.
    3. Abdelbaky, Mohamed Abdelkarim & Liu, Xiangjie & Jiang, Di, 2020. "Design and implementation of partial offline fuzzy model-predictive pitch controller for large-scale wind-turbines," Renewable Energy, Elsevier, vol. 145(C), pages 981-996.
    4. Ossmann, Daniel & Seiler, Peter & Milliren, Christopher & Danker, Alan, 2021. "Field testing of multi-variable individual pitch control on a utility-scale wind turbine," Renewable Energy, Elsevier, vol. 170(C), pages 1245-1256.
    5. Ibáñez, Bernabé & Inthamoussou, F.A. & De Battista, Hernán, 2020. "Wind turbine load analysis of a full range LPV controller," Renewable Energy, Elsevier, vol. 145(C), pages 2741-2753.
    6. Ai, Qing & Weaver, Paul M. & Barlas, Thanasis K. & Olsen, Anders S. & Madsen, Helge A. & Andersen, Tom L., 2019. "Field testing of morphing flaps on a wind turbine blade using an outdoor rotating rig," Renewable Energy, Elsevier, vol. 133(C), pages 53-65.
    7. Zhang, Mingming & Yang, Honglei & Xu, Jianzhong, 2017. "Numerical investigation of azimuth dependent smart rotor control on a large-scale offshore wind turbine," Renewable Energy, Elsevier, vol. 105(C), pages 248-256.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhanpu Xue & Hao Zhang & Yunguang Ji, 2023. "Dynamic Response of a Flexible Multi-Body in Large Wind Turbines: A Review," Sustainability, MDPI, vol. 15(8), pages 1-25, April.
    2. Li, Juan & Wang, Yinan & Lin, Shuyue & Zhao, Xiaowei, 2022. "Nonlinear modelling and adaptive control of smart rotor wind turbines," Renewable Energy, Elsevier, vol. 186(C), pages 677-690.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Pan, Lin & Wang, Xudong, 2020. "Variable pitch control on direct-driven PMSG for offshore wind turbine using Repetitive-TS fuzzy PID control," Renewable Energy, Elsevier, vol. 159(C), pages 221-237.
    2. Li, Juan & Wang, Yinan & Lin, Shuyue & Zhao, Xiaowei, 2022. "Nonlinear modelling and adaptive control of smart rotor wind turbines," Renewable Energy, Elsevier, vol. 186(C), pages 677-690.
    3. Sales-Setién, Ester & Peñarrocha-Alós, Ignacio, 2020. "Robust estimation and diagnosis of wind turbine pitch misalignments at a wind farm level," Renewable Energy, Elsevier, vol. 146(C), pages 1746-1765.
    4. Truong, Hoai Vu Anh & Dang, Tri Dung & Vo, Cong Phat & Ahn, Kyoung Kwan, 2022. "Active control strategies for system enhancement and load mitigation of floating offshore wind turbines: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 170(C).
    5. Azizi, Askar & Nourisola, Hamid & Shoja-Majidabad, Sajjad, 2019. "Fault tolerant control of wind turbines with an adaptive output feedback sliding mode controller," Renewable Energy, Elsevier, vol. 135(C), pages 55-65.
    6. Wang, Hao & Wang, Tongguang & Ke, Shitang & Hu, Liang & Xie, Jiaojie & Cai, Xin & Cao, Jiufa & Ren, Yuxin, 2023. "Assessing code-based design wind loads for offshore wind turbines in China against typhoons," Renewable Energy, Elsevier, vol. 212(C), pages 669-682.
    7. Li, Qing'an & Cai, Chang & Kamada, Yasunari & Maeda, Takao & Hiromori, Yuto & Zhou, Shuni & Xu, Jianzhong, 2021. "Prediction of power generation of two 30 kW Horizontal Axis Wind Turbines with Gaussian model," Energy, Elsevier, vol. 231(C).
    8. Khaoula Qaissi & Omer Elsayed & Mustapha Faqir & Elhachmi Essadiqi, 2023. "Aerodynamic Optimization of Trailing-Edge-Serrations for a Wind Turbine Blade Using Taguchi Modified Additive Model," Energies, MDPI, vol. 16(3), pages 1-21, January.
    9. Arabgolarcheh, Alireza & Rouhollahi, Amirhossein & Benini, Ernesto, 2023. "Analysis of middle-to-far wake behind floating offshore wind turbines in the presence of multiple platform motions," Renewable Energy, Elsevier, vol. 208(C), pages 546-560.
    10. Xiaobing Kong & Lele Ma & Xiangjie Liu & Mohamed Abdelkarim Abdelbaky & Qian Wu, 2020. "Wind Turbine Control Using Nonlinear Economic Model Predictive Control over All Operating Regions," Energies, MDPI, vol. 13(1), pages 1-21, January.
    11. Liu, Yanhua & Patton, Ron J. & Shi, Shuo, 2023. "Actuator fault tolerant offshore wind turbine load mitigation control," Renewable Energy, Elsevier, vol. 205(C), pages 432-446.
    12. Li, Qingan & Cai, Chang & Maeda, Takao & Kamada, Yasunari & Shimizu, Kento & Dong, Yehong & Zhang, Fanghong & Xu, Jianzhong, 2021. "Visualization of aerodynamic forces and flow field on a straight-bladed vertical axis wind turbine by wind tunnel experiments and panel method," Energy, Elsevier, vol. 225(C).
    13. Nitin S. Solke & Pritesh Shah & Ravi Sekhar & T. P. Singh, 2022. "Machine Learning-Based Predictive Modeling and Control of Lean Manufacturing in Automotive Parts Manufacturing Industry," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 23(1), pages 89-112, March.
    14. Juan D. Velásquez & Lorena Cadavid & Carlos J. Franco, 2023. "Intelligence Techniques in Sustainable Energy: Analysis of a Decade of Advances," Energies, MDPI, vol. 16(19), pages 1-45, October.
    15. Noyes, Carlos & Loth, Eric & Martin, Dana & Johnson, Kathryn & Ananda, Gavin & Selig, Michael, 2020. "Extreme-scale load-aligning rotor: To hinge or not to hinge?," Applied Energy, Elsevier, vol. 257(C).
    16. Xilin Zhao & Zhenyu Lin & Bo Fu & Li He & Na Fang, 2018. "Research on Automatic Generation Control with Wind Power Participation Based on Predictive Optimal 2-Degree-of-Freedom PID Strategy for Multi-area Interconnected Power System," Energies, MDPI, vol. 11(12), pages 1-17, November.
    17. Abdoos, Ali Akbar & Abdoos, Hatef & Kazemitabar, Javad & Mobashsher, Mohammad Mehdi & Khaloo, Hooman, 2023. "An intelligent hybrid method based on Monte Carlo simulation for short-term probabilistic wind power prediction," Energy, Elsevier, vol. 278(PA).
    18. Wang, Longjun & Alam, Md. Mahbub & Rehman, Shafiqur & Zhou, Yu, 2022. "Effects of blowing and suction jets on the aerodynamic performance of wind turbine airfoil," Renewable Energy, Elsevier, vol. 196(C), pages 52-64.
    19. Golnary, Farshad & Moradi, Hamed, 2018. "Design and comparison of quasi continuous sliding mode control with feedback linearization for a large scale wind turbine with wind speed estimation," Renewable Energy, Elsevier, vol. 127(C), pages 495-508.
    20. López-Queija, Javier & Robles, Eider & Jugo, Josu & Alonso-Quesada, Santiago, 2022. "Review of control technologies for floating offshore wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:renene:v:180:y:2021:i:c:p:68-82. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.