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Sliding Mode Control of DFIG Wind Turbines with a Fast Exponential Reaching Law

Author

Listed:
  • Linyun Xiong

    (School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China)

  • Penghan Li

    (School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China)

  • Hao Li

    (School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China)

  • Jie Wang

    (School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China)

Abstract

This paper proposes a novel sliding mode control (SMC) technique for doubly fed induction generators (DFIGs) based on the fast exponential reaching law (FERL). The proposed FERL-based SMC is capable of reducing to a large extent the chattering phenomena existing in the sliding stage. Meanwhile, the reaching stage is accelerated with the introduction of an adaptive gain. The proposed method is employed in a DFIG-based wind energy conversion system (WECS) for direct power control (DPC). The FERL-based DPC approach is tested with simulations conducted in Matlab/Simulink under the scenarios of unbalanced grid voltage, grid fault conditions and highly unstable wind speed accompanied by an experimental study. The simulations and experimental results reveal the better performance of the proposed control method in active/reactive power tracking and dc-link voltage maintenance.

Suggested Citation

  • Linyun Xiong & Penghan Li & Hao Li & Jie Wang, 2017. "Sliding Mode Control of DFIG Wind Turbines with a Fast Exponential Reaching Law," Energies, MDPI, vol. 10(11), pages 1-19, November.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:11:p:1788-:d:117938
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    Citations

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    Cited by:

    1. Rok Pajer & Amor Chowdhury & Miran Rodič, 2019. "Control of a Multiphase Buck Converter, Based on Sliding Mode and Disturbance Estimation, Capable of Linear Large Signal Operation," Energies, MDPI, vol. 12(14), pages 1-26, July.
    2. Mohammed Mazen Alhato & Mohamed N. Ibrahim & Hegazy Rezk & Soufiene Bouallègue, 2021. "An Enhanced DC-Link Voltage Response for Wind-Driven Doubly Fed Induction Generator Using Adaptive Fuzzy Extended State Observer and Sliding Mode Control," Mathematics, MDPI, vol. 9(9), pages 1-18, April.
    3. Habib Benbouhenni & Nicu Bizon, 2021. "Third-Order Sliding Mode Applied to the Direct Field-Oriented Control of the Asynchronous Generator for Variable-Speed Contra-Rotating Wind Turbine Generation Systems," Energies, MDPI, vol. 14(18), pages 1-20, September.
    4. Irfan Sami & Shafaat Ullah & Zahoor Ali & Nasim Ullah & Jong-Suk Ro, 2020. "A Super Twisting Fractional Order Terminal Sliding Mode Control for DFIG-Based Wind Energy Conversion System," Energies, MDPI, vol. 13(9), pages 1-20, May.
    5. Mohammed Mazen Alhato & Soufiene Bouallègue & Hegazy Rezk, 2020. "Modeling and Performance Improvement of Direct Power Control of Doubly-Fed Induction Generator Based Wind Turbine through Second-Order Sliding Mode Control Approach," Mathematics, MDPI, vol. 8(11), pages 1-31, November.
    6. Roummani, Khayra & Hamouda, Messaoud & Mazari, Benyounes & Bendjebbar, Mokhtar & Koussa, Khaled & Ferroudji, Fateh & Necaibia, Ammar, 2019. "A new concept in direct-driven vertical axis wind energy conversion system under real wind speed with robust stator power control," Renewable Energy, Elsevier, vol. 143(C), pages 478-487.
    7. Habib Benbouhenni & Zinelaabidine Boudjema & Nicu Bizon & Phatiphat Thounthong & Noureddine Takorabet, 2022. "Direct Power Control Based on Modified Sliding Mode Controller for a Variable-Speed Multi-Rotor Wind Turbine System Using PWM Strategy," Energies, MDPI, vol. 15(10), pages 1-25, May.
    8. Jian Zhang & Yong Wan & Quan Ouyang & Meng Dong, 2023. "Nonlinear Stochastic Adaptive Control for DFIG-Based Wind Generation System," Energies, MDPI, vol. 16(15), pages 1-19, July.
    9. Bicheng Guo & Jiang Guo, 2019. "Feedback Linearization and Reaching Law Based Sliding Mode Control Design for Nonlinear Hydraulic Turbine Governing System," Energies, MDPI, vol. 12(12), pages 1-19, June.
    10. Cristian Napole & Oscar Barambones & Mohamed Derbeli & José Antonio Cortajarena & Isidro Calvo & Patxi Alkorta & Pablo Fernandez Bustamante, 2021. "Double Fed Induction Generator Control Design Based on a Fuzzy Logic Controller for an Oscillating Water Column System," Energies, MDPI, vol. 14(12), pages 1-19, June.

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