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Robust Control for Torque Minimization in Wind Hybrid Generators: An H ∞ Approach

Author

Listed:
  • Amina Mseddi

    (Control and Energy Management Laboratory, National School of Engineering, Sfax University, Sfax 3038, Tunisia
    Renewable Energy Department, ISE Company, Sfax 1019, Tunisia)

  • Omar Naifar

    (Control and Energy Management Laboratory, National School of Engineering, Sfax University, Sfax 3038, Tunisia)

  • Mohamed Rhaima

    (Department of Statistics and Operations Research, College of Sciences, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia)

  • Lassaad Mchiri

    (ENSIIE, University of Evry-Val-d’Essonne, 1 Square de la Résistance Cedex, 91025 Évry-Courcouronnes, France)

  • Abdellatif Ben Makhlouf

    (Department of Mathematics, Faculty of Sciences of Sfax, University of Sfax, Sfax 3038, Tunisia)

Abstract

This study focuses on implementing a wind turbine emulator based on a permanent magnet synchronous machine with excitation auxiliary windings and thoroughly investigates the space harmonics created by this innovative topology in MATLAB/Simulink. A Hybrid Generator (HG) is a robust generator that does not have slip rings or brushes in its structure. Furthermore, the flux of the hybrid generator HG may be easily adjusted as it is created by direct current excitation coils and permanent magnets. Unfortunately, the space harmonic rate in the HG is relatively high. In other words, the mechanical vibrations caused by the electromagnetic torque ripple threaten the drive train’s behaviour and, ultimately, the wind turbine’s lifespan. This study describes two methods for decreasing the ripple in electromagnetic torque. Both circuit architecture and robust H ∞ control techniques are considered. After simulating the two approaches, a list of requirements is provided for the maximum allowable amplitude of the inductance and the flux harmonics.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:16:p:3557-:d:1219307
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    References listed on IDEAS

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    1. Fahimeh Shiravani & Jose Antonio Cortajarena & Patxi Alkorta & Oscar Barambones, 2022. "Generalized Predictive Control Scheme for a Wind Turbine System," Sustainability, MDPI, vol. 14(14), pages 1-15, July.
    2. Adel Merabet, 2018. "Adaptive Sliding Mode Speed Control for Wind Energy Experimental System," Energies, MDPI, vol. 11(9), pages 1-14, August.
    3. Shiyao Qin & Yuyang Chang & Zhen Xie & Shaolin Li, 2021. "Improved Virtual Inertia of PMSG-Based Wind Turbines Based on Multi-Objective Model-Predictive Control," Energies, MDPI, vol. 14(12), pages 1-20, June.
    4. 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.
    5. Cisneros-Magaña, Rafael & Medina-Rios, Aurelio & Fuerte-Esquivel, Claudio R. & Segundo-Ramírez, Juan, 2022. "Harmonic state estimation based on discrete exponential expansion, singular value decomposition and a variable measurement model," Energy, Elsevier, vol. 249(C).
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