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H ∞ Based Control for Load Mitigation in Wind Turbines

Author

Listed:
  • Asier Diaz De Corcuera

    (IKERLAN-IK4, Arizmendiarreta, 2, E-20500 Arrasate-Mondragon, The Basque Country, Spain)

  • Aron Pujana-Arrese

    (IKERLAN-IK4, Arizmendiarreta, 2, E-20500 Arrasate-Mondragon, The Basque Country, Spain)

  • Jose M. Ezquerra

    (IKERLAN-IK4, Arizmendiarreta, 2, E-20500 Arrasate-Mondragon, The Basque Country, Spain)

  • Edurne Segurola

    (IKERLAN-IK4, Arizmendiarreta, 2, E-20500 Arrasate-Mondragon, The Basque Country, Spain)

  • Joseba Landaluze

    (IKERLAN-IK4, Arizmendiarreta, 2, E-20500 Arrasate-Mondragon, The Basque Country, Spain)

Abstract

This article demonstrates a strategy to design multivariable and multi-objective controllers based on the H ∞ norm reduction applied to a wind turbine. The wind turbine model has been developed in the GH Bladed software and it is based on a 5 MW wind turbine defined in the Upwind European project. The designed control strategy works in the above rated power production zone and performs generator speed control and load reduction on the drive train and tower. In order to do this, two robust H ∞ MISO (Multi-Input Single-Output) controllers have been developed. These controllers generate collective pitch angle and generator torque set-point values to achieve the imposed control objectives. Linear models obtained in GH Bladed 4.0 are used, but the control design methodology can be used with linear models obtained from any other modelling package. Controllers are designed by setting out a mixed sensitivity problem, where some notch filters are also included in the controller dynamics. The obtained H ∞ controllers have been validated in GH Bladed and an exhaustive analysis has been carried out to calculate fatigue load reduction on wind turbine components, as well as to analyze load mitigation in some extreme cases. The analysis compares the proposed control strategy based on H ∞ controllers to a baseline control strategy designed using the classical control methods implemented on the present wind turbines.

Suggested Citation

  • Asier Diaz De Corcuera & Aron Pujana-Arrese & Jose M. Ezquerra & Edurne Segurola & Joseba Landaluze, 2012. "H ∞ Based Control for Load Mitigation in Wind Turbines," Energies, MDPI, vol. 5(4), pages 1-30, April.
  • Handle: RePEc:gam:jeners:v:5:y:2012:i:4:p:938-967:d:17239
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    Citations

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    Cited by:

    1. Taesu Jeon & Dongmyoung Kim & Yuan Song & Insu Paek, 2021. "Design and Validation of Demanded Power Point Tracking Control Algorithm for MIMO Controllers in Wind Turbines," Energies, MDPI, vol. 14(18), pages 1-18, September.
    2. Jau-Woei Perng & Guan-Yan Chen & Shan-Chang Hsieh, 2014. "Optimal PID Controller Design Based on PSO-RBFNN for Wind Turbine Systems," Energies, MDPI, vol. 7(1), pages 1-19, January.
    3. Yancai Xiao & Tieling Zhang & Zeyu Ding & Chunya Li, 2016. "The Study of Fuzzy Proportional Integral Controllers Based on Improved Particle Swarm Optimization for Permanent Magnet Direct Drive Wind Turbine Converters," Energies, MDPI, vol. 9(5), pages 1-17, May.
    4. Vincenzo Iannino & Valentina Colla & Mario Innocenti & Annamaria Signorini, 2017. "Design of a H ∞ Robust Controller with μ -Analysis for Steam Turbine Power Generation Applications," Energies, MDPI, vol. 10(7), pages 1-31, July.
    5. Ning Zhang & Wei Gu & Haojun Yu & Wei Liu, 2013. "Application of Coordinated SOFC and SMES Robust Control for Stabilizing Tie-Line Power," Energies, MDPI, vol. 6(4), pages 1-16, April.
    6. 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.
    7. Yuan, Yuan & Chen, Xu & Tang, J., 2020. "Multivariable robust blade pitch control design to reject periodic loads on wind turbines," Renewable Energy, Elsevier, vol. 146(C), pages 329-341.
    8. Zili Zhang & Søren R. K. Nielsen & Frede Blaabjerg & Dao Zhou, 2014. "Dynamics and Control of Lateral Tower Vibrations in Offshore Wind Turbines by Means of Active Generator Torque," Energies, MDPI, vol. 7(11), pages 1-27, November.
    9. Yolanda Vidal & Leonardo Acho & Ningsu Luo & Mauricio Zapateiro & Francesc Pozo, 2012. "Power Control Design for Variable-Speed Wind Turbines," Energies, MDPI, vol. 5(8), pages 1-18, August.
    10. Njiri, Jackson G. & Söffker, Dirk, 2016. "State-of-the-art in wind turbine control: Trends and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 377-393.

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