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Multi-Degree-of-Freedom Load Reproduction by Electrohydraulic Digital-Servo Loading for Wind Turbine Drivetrain

Author

Listed:
  • Danyang Li

    (The State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou 310027, China)

  • Yajing Gu

    (The State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou 310027, China
    Ocean Academy, Zhejiang University, Zhoushan 316021, China)

  • Hongwei Liu

    (The State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou 310027, China
    Ocean Academy, Zhejiang University, Zhoushan 316021, China)

  • Yonggang Lin

    (The State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou 310027, China
    Ocean Academy, Zhejiang University, Zhoushan 316021, China)

  • Jiajun Song

    (The State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou 310027, China)

  • Yongdong Shu

    (Nanjing High Accurate Marine Equipment Co., Ltd., Nanjing 211100, China)

Abstract

Many drivetrain testing facilities have been built to reproduce multi-degree-of-freedom loads, thus simulating real wind conditions for evaluations of the reliability and durability of turbine subsystems. In this paper, the electrohydraulic schemes for the non-torque loading of a wind turbine’s drivetrain test benches are first analyzed. To deal with the control inaccuracy caused by the drastically increasing loading force, along with the rapid development of large-scale wind turbines, a multi-cylinder electrohydraulic digital-servo loading (MEDSL) technology is proposed. A novel electrohydraulic digital-servo cylinders group is designed. The proposed MEDSL can provide continuous and accurate load recurrence under wider wind conditions by varying the operational area of the cylinders group. Moreover, a sliding mode controller (SMC) is designed to realize the large dynamic loading of the MEDSL system. By comparing the SMC to a traditional PID controller in a servo-valve controlled cylinder, both simulation and experiment results proved the advantage of the proposed SMC. Accordingly, extensive experiments with a 4-cylinder case were carried out on a real full-loading bench using the SMC-based MEDSL device. The excellent tracking performance under complicated signals that represent the real wind loads demonstrated the feasibility and effectiveness of the proposed MEDSL technology and the SMC method.

Suggested Citation

  • Danyang Li & Yajing Gu & Hongwei Liu & Yonggang Lin & Jiajun Song & Yongdong Shu, 2023. "Multi-Degree-of-Freedom Load Reproduction by Electrohydraulic Digital-Servo Loading for Wind Turbine Drivetrain," Energies, MDPI, vol. 16(12), pages 1-20, June.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:12:p:4659-:d:1169135
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    References listed on IDEAS

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    1. Gu, Ya-jing & Lin, Yong-gang & Xu, Quan-kun & Liu, Hong-wei & Li, Wei, 2018. "Blade-pitch system for tidal current turbines with reduced variation pitch control strategy based on tidal current velocity preview," Renewable Energy, Elsevier, vol. 115(C), pages 149-158.
    2. Oh, Ki-Yong & Lee, Jae-Kyung & Bang, Hyung-Joon & Park, Joon-Young & Lee, Jun-Shin & Epureanu, B.I., 2014. "Development of a 20 kW wind turbine simulator with similarities to a 3 MW wind turbine," Renewable Energy, Elsevier, vol. 62(C), pages 379-387.
    3. Pinar Pérez, Jesús María & García Márquez, Fausto Pedro & Tobias, Andrew & Papaelias, Mayorkinos, 2013. "Wind turbine reliability analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 23(C), pages 463-472.
    4. Yin, Xiu-xing & Lin, Yong-gang & Li, Wei & Ye, Hang-ye & Gu, Ya-jing & Liu, Hong-wei, 2015. "Reproduction of five degree-of-freedom loads for wind turbine using equispaced electro-hydraulic actuators," Renewable Energy, Elsevier, vol. 83(C), pages 626-637.
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