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Adaptive Sliding Mode Speed Control for Wind Energy Experimental System

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  • Adel Merabet

    (Division of Engineering, Saint Mary’s University, Halifax, NS B3H 3C3, Canada)

Abstract

In this paper, an adaptive sliding mode speed control algorithm with an integral-operation sliding surface is proposed for a variable speed wind energy experimental system. In the control design, an estimator is designed to compensate for the uncertainties and the unknown turbine torque. In addition, the bound of the sliding mode is investigated to deal with uncertainties. The stability of the system can be guaranteed in the sense of the Lyapunov stability theorem. The laboratory size DC generator wind energy system is controlled using a buck-boost DC-DC converter interface. The control system is validated by experimentation and results demonstrate the achievement of favorable speed tracking performance and robustness against parametric variations and external disturbances.

Suggested Citation

  • Adel Merabet, 2018. "Adaptive Sliding Mode Speed Control for Wind Energy Experimental System," Energies, MDPI, vol. 11(9), pages 1-14, August.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:9:p:2238-:d:165886
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    References listed on IDEAS

    as
    1. Merabet, A. & Islam, Md.A. & Beguenane, R. & Trzynadlowski, A.M., 2015. "Multivariable control algorithm for laboratory experiments in wind energy conversion," Renewable Energy, Elsevier, vol. 83(C), pages 162-170.
    2. Oscar Barambones, 2012. "Sliding Mode Control Strategy for Wind Turbine Power Maximization," Energies, MDPI, vol. 5(7), pages 1-21, July.
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    Cited by:

    1. Amina Mseddi & Omar Naifar & Mohamed Rhaima & Lassaad Mchiri & Abdellatif Ben Makhlouf, 2023. "Robust Control for Torque Minimization in Wind Hybrid Generators: An H ∞ Approach," Mathematics, MDPI, vol. 11(16), pages 1-23, August.
    2. Oscar Barambones & Jose M. Gonzalez de Durana & Isidro Calvo, 2018. "Adaptive Sliding Mode Control for a Double Fed Induction Generator Used in an Oscillating Water Column System," Energies, MDPI, vol. 11(11), pages 1-27, October.
    3. Diego Calabrese & Gioacchino Tricarico & Elia Brescia & Giuseppe Leonardo Cascella & Vito Giuseppe Monopoli & Francesco Cupertino, 2020. "Variable Structure Control of a Small Ducted Wind Turbine in the Whole Wind Speed Range Using a Luenberger Observer," Energies, MDPI, vol. 13(18), pages 1-23, September.
    4. Abdul Rehman Yasin & Muhammad Ashraf & Aamer Iqbal Bhatti, 2019. "A Novel Filter Extracted Equivalent Control Based Fixed Frequency Sliding Mode Approach for Power Electronic Converters," Energies, MDPI, vol. 12(5), pages 1-14, March.
    5. Nikola Lopac & Neven Bulic & Niksa Vrkic, 2019. "Sliding Mode Observer-Based Load Angle Estimation for Salient-Pole Wound Rotor Synchronous Generators," Energies, MDPI, vol. 12(9), pages 1-22, April.
    6. Teuvo Suntio & Tuomas Messo, 2019. "Power Electronics in Renewable Energy Systems," Energies, MDPI, vol. 12(10), pages 1-5, May.
    7. Cuauhtemoc Acosta Lúa & Domenico Bianchi & Salvador Martín Baragaño & Mario Di Ferdinando & Stefano Di Gennaro, 2023. "Robust Nonlinear Control of a Wind Turbine with a Permanent Magnet Synchronous Generator," Energies, MDPI, vol. 16(18), pages 1-19, September.

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