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Gain scheduled control based on high fidelity local wind turbine models

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  • Bianchi, F.D.
  • Sánchez-Peña, R.S.
  • Guadayol, M.

Abstract

A new design methodology of gain scheduled controllers for wind turbines is presented. The proposed methodology is intended to deal with multi-variable and high order models as those produced by high fidelity aeroelastic simulators. The methodology consists in interpolating the local controller outputs and does not require a uniform state definition either of the local controllers or of the linear models. This allows the design of each controller independently, an essential point in cases of high order models. An aeroelastic model of a typical commercial wind turbine is used to illustrate the methodology.

Suggested Citation

  • Bianchi, F.D. & Sánchez-Peña, R.S. & Guadayol, M., 2012. "Gain scheduled control based on high fidelity local wind turbine models," Renewable Energy, Elsevier, vol. 37(1), pages 233-240.
    • Handle: RePEc:eee:renene:v:37:y:2012:i:1:p:233-240
    DOI: 10.1016/j.renene.2011.06.024
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    References listed on IDEAS

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    1. Ackermann, Thomas & Söder, Lennart, 2002. "An overview of wind energy-status 2002," Renewable and Sustainable Energy Reviews, Elsevier, vol. 6(1-2), pages 67-127.
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    Cited by:

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    2. David Rodriguez-Rosa & Ismael Payo-Gutierrez & Fernando J. Castillo-Garcia & Antonio Gonzalez-Rodriguez & Sergio Perez-Juarez, 2017. "Improving Energy Efficiency of an Autonomous Bicycle with Adaptive Controller Design," Sustainability, MDPI, vol. 9(5), pages 1-16, May.
    3. Moayed Almobaied & Hassan S. Al-Nahhal & Orlando Arrieta & Ramon Vilanova, 2023. "Design a Robust Proportional-Derivative Gain-Scheduling Control for a Magnetic Levitation System," Mathematics, MDPI, vol. 11(19), pages 1-21, September.
    4. Howlader, Abdul Motin & Izumi, Yuya & Uehara, Akie & Urasaki, Naomitsu & Senjyu, Tomonobu & Yona, Atsushi & Saber, Ahmed Yousuf, 2012. "A minimal order observer based frequency control strategy for an integrated wind-battery-diesel power system," Energy, Elsevier, vol. 46(1), pages 168-178.
    5. 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.
    6. La Cava, William & Danai, Kourosh & Spector, Lee & Fleming, Paul & Wright, Alan & Lackner, Matthew, 2016. "Automatic identification of wind turbine models using evolutionary multiobjective optimization," Renewable Energy, Elsevier, vol. 87(P2), pages 892-902.
    7. Inthamoussou, Fernando A. & De Battista, Hernán & Mantz, Ricardo J., 2016. "LPV-based active power control of wind turbines covering the complete wind speed range," Renewable Energy, Elsevier, vol. 99(C), pages 996-1007.

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