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Variable Structure Control of a Small Ducted Wind Turbine in the Whole Wind Speed Range Using a Luenberger Observer

Author

Listed:
  • Diego Calabrese

    (Department of Electrical Engineering and Information Technology, Politecnico di Bari, 70126 Bari, Italy)

  • Gioacchino Tricarico

    (Department of Electrical Engineering and Information Technology, Politecnico di Bari, 70126 Bari, Italy)

  • Elia Brescia

    (Department of Electrical Engineering and Information Technology, Politecnico di Bari, 70126 Bari, Italy)

  • Giuseppe Leonardo Cascella

    (Department of Electrical Engineering and Information Technology, Politecnico di Bari, 70126 Bari, Italy)

  • Vito Giuseppe Monopoli

    (Department of Electrical Engineering and Information Technology, Politecnico di Bari, 70126 Bari, Italy)

  • Francesco Cupertino

    (Department of Electrical Engineering and Information Technology, Politecnico di Bari, 70126 Bari, Italy)

Abstract

This paper proposes a new variable structure control scheme for a variable-speed, fixed-pitch ducted wind turbine, equipped with an annular, brushless permanent-magnet synchronous generator, considering a back-to-back power converter topology. The purpose of this control scheme is to maximise the aerodynamic power over the entire wind speed range, considering the mechanical safety limits of the ducted wind turbine. The ideal power characteristics are achieved with the design of control laws aimed at performing the maximum power point tracking control in the low wind speeds region, and the constant speed, power, and torque control in the high wind speed region. The designed control laws utilize a Luenberger observer for the estimation of the aerodynamic torque and a shallow neural network for wind speed estimation. The effectiveness of the proposed method was verified through tests in a laboratory setup. Moreover, a comparison with other solutions from the literature allowed us to better evaluate the performances achieved and to highlight the originality of the proposed control scheme.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:18:p:4647-:d:410187
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    References listed on IDEAS

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    Cited by:

    1. Xiangjie Liu & Le Feng & Xiaobing Kong, 2022. "A Comparative Study of Robust MPC and Stochastic MPC of Wind Power Generation System," Energies, MDPI, vol. 15(13), pages 1-22, June.
    2. José Antonio Cortajarena & Oscar Barambones & Patxi Alkorta & Jon Cortajarena, 2021. "Grid Frequency and Amplitude Control Using DFIG Wind Turbines in a Smart Grid," Mathematics, MDPI, vol. 9(2), pages 1-18, January.
    3. Peng Wang & Daorina Bao & Mingzhi Zhao & Zhongyu Shi & Fan Gao & Feng Han, 2023. "The Design, Analysis, and Optimization of a New Pitch Mechanism for Small Wind Turbines," Energies, MDPI, vol. 16(18), pages 1-25, September.
    4. Jelena Loncarski & Vito Giuseppe Monopoli & Vitor Monteiro & Leposava Ristic & Milutin Jovanović, 2022. "Efficiency and Performance Optimization of State-of-the-Art “Multi-Phase, -Level, -Cell, -Port, -Motor” Electrical Drives and Renewable Energy Systems," Energies, MDPI, vol. 15(16), pages 1-3, August.
    5. Elia Brescia & Donatello Costantino & Paolo Roberto Massenio & Vito Giuseppe Monopoli & Francesco Cupertino & Giuseppe Leonardo Cascella, 2021. "A Design Method for the Cogging Torque Minimization of Permanent Magnet Machines with a Segmented Stator Core Based on ANN Surrogate Models," Energies, MDPI, vol. 14(7), pages 1-26, March.
    6. Stanisław Chudzik, 2023. "Wind Microturbine with Adjustable Blade Pitch Angle," Energies, MDPI, vol. 16(2), pages 1-16, January.
    7. José Genaro González-Hernández & Rubén Salas-Cabrera, 2021. "Wind Power Extraction Optimization by Dynamic Gain Scheduling Approximation Based on Non-Linear Functions for a WECS Based on a PMSG," Mathematics, MDPI, vol. 9(17), pages 1-19, August.
    8. Janusz Baran & Andrzej Jąderko, 2020. "An MPPT Control of a PMSG-Based WECS with Disturbance Compensation and Wind Speed Estimation," Energies, MDPI, vol. 13(23), pages 1-20, December.

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