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Variable Speed Control of Wind Turbines Based on the Quasi-Continuous High-Order Sliding Mode Method

Author

Listed:
  • Yanwei Jing

    (School of Control Science and Engineering, Hebei University of Technology, Hongqiao District, Tianjin 300131, China)

  • Hexu Sun

    (School of Control Science and Engineering, Hebei University of Technology, Hongqiao District, Tianjin 300131, China)

  • Lei Zhang

    (School of Control Science and Engineering, Hebei University of Technology, Hongqiao District, Tianjin 300131, China)

  • Tieling Zhang

    (School of Mechanical, Materials, Mechatronic and Biomedical Engineering, University of Wollongong, Wollongong, NSW 2522, Australia)

Abstract

The characteristics of wind turbine systems such as nonlinearity, uncertainty and strong coupling, as well as external interference, present great challenges in wind turbine controller design. In this paper, a quasi-continuous high-order sliding mode method is used to design controllers due to its strong robustness to external disturbances, unmodeled dynamics and parameter uncertainties. It can also effectively suppress the chattering toward which the traditional sliding mode control method is ineffective. In this study, the strategy of designing speed controllers based on the quasi-continuous high order sliding mode method is proposed to ensure the wind turbine works well in different wind modes. First, the plant model of the variable speed control system is built as a linearized model; and then a second order speed controller is designed for the model and its stability is proved. Finally, the designed controller is applied to wind turbine pitch control. Based on the simulation results from a simulation of 1200 s which contains almost all wind speed modes, it is shown that the pitch angle can be rapidly adjusted according to wind speed change by the designed controller. Hence, the output power is maintained at the rated value corresponding to the wind speed. In addition, the robustness of the system is verified. Meanwhile, the chattering is found to be effectively suppressed.

Suggested Citation

  • Yanwei Jing & Hexu Sun & Lei Zhang & Tieling Zhang, 2017. "Variable Speed Control of Wind Turbines Based on the Quasi-Continuous High-Order Sliding Mode Method," Energies, MDPI, vol. 10(10), pages 1-21, October.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:10:p:1626-:d:115343
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    References listed on IDEAS

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    1. Pieralli, Simone & Ritter, Matthias & Odening, Martin, 2015. "Efficiency of wind power production and its determinants," Energy, Elsevier, vol. 90(P1), pages 429-438.
    2. Boukhezzar, B. & Lupu, L. & Siguerdidjane, H. & Hand, M., 2007. "Multivariable control strategy for variable speed, variable pitch wind turbines," Renewable Energy, Elsevier, vol. 32(8), pages 1273-1287.
    3. Moradi, Hamed & Vossoughi, Gholamreza, 2015. "Robust control of the variable speed wind turbines in the presence of uncertainties: A comparison between H∞ and PID controllers," Energy, Elsevier, vol. 90(P2), pages 1508-1521.
    4. Mérida, Jován & Aguilar, Luis T. & Dávila, Jorge, 2014. "Analysis and synthesis of sliding mode control for large scale variable speed wind turbine for power optimization," Renewable Energy, Elsevier, vol. 71(C), pages 715-728.
    5. Taveiros, F.E.V. & Barros, L.S. & Costa, F.B., 2015. "Back-to-back converter state-feedback control of DFIG (doubly-fed induction generator)-based wind turbines," Energy, Elsevier, vol. 89(C), pages 896-906.
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    Cited by:

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    2. Chan Roh & Yoon-Jin Ha & Hyeon-Jeong Ahn & Kyong-Hwan Kim, 2022. "A Comparative Analysis of the Characteristics of Platform Motion of a Floating Offshore Wind Turbine Based on Pitch Controllers," Energies, MDPI, vol. 15(3), pages 1-14, January.
    3. Jongmin Cheon & Jinwook Kim & Joohoon Lee & Kichang Lee & Youngkiu Choi, 2019. "Development of Hardware-in-the-Loop-Simulation Testbed for Pitch Control System Performance Test," Energies, MDPI, vol. 12(10), pages 1-20, May.

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