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Fault-Tolerant Control of Doubly-Fed Wind Turbine Generation Systems under Sensor Fault Conditions

Author

Listed:
  • Guodong You

    (College of Electronic Information and Automation, Tianjin University of Science and Technology, Tianjin 300222, China)

  • Tao Xu

    (College of Electronic Information and Automation, Tianjin University of Science and Technology, Tianjin 300222, China)

  • Honglin Su

    (College of Electronic Information and Automation, Tianjin University of Science and Technology, Tianjin 300222, China)

  • Xiaoxin Hou

    (College of Electronic Information and Automation, Tianjin University of Science and Technology, Tianjin 300222, China)

  • Xue Wang

    (College of Electronic Information and Automation, Tianjin University of Science and Technology, Tianjin 300222, China)

  • Chengxin Fang

    (College of Electronic Information and Automation, Tianjin University of Science and Technology, Tianjin 300222, China)

  • Jisheng Li

    (College of Electronic Information and Automation, Tianjin University of Science and Technology, Tianjin 300222, China)

Abstract

This paper studies the fault-tolerant control problem of uncertain doubly-fed wind turbine generation systems with sensor faults. Considering the uncertainty of the system, a fault-tolerant control strategy based on a T-S fuzzy observer is proposed. The fuzzy observer is established based on the T-S fuzzy model of the uncertain nonlinear system. According to the comparison and analysis of residual between the state estimation of the fuzzy observer output and the measured value of the real sensor, a fault detection and isolation (FDI) based on T-S fuzzy observer is designed. Then by using a Parallel Distributed Compensation (PDC) method we design the robust fuzzy controller. Finally, the necessary and sufficient conditions for the stability of the closed-loop system are proved by quoting Lyapunov stability theory. The simulation results verify the effectiveness of the proposed control method.

Suggested Citation

  • Guodong You & Tao Xu & Honglin Su & Xiaoxin Hou & Xue Wang & Chengxin Fang & Jisheng Li, 2019. "Fault-Tolerant Control of Doubly-Fed Wind Turbine Generation Systems under Sensor Fault Conditions," Energies, MDPI, vol. 12(17), pages 1-14, August.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:17:p:3239-:d:260000
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    References listed on IDEAS

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    1. Gálvez-Carrillo, Manuel & Kinnaert, Michel, 2011. "Sensor fault detection and isolation in doubly-fed induction generators accounting for parameter variations," Renewable Energy, Elsevier, vol. 36(5), pages 1447-1457.
    2. Jia Liu & Jizu Li & Xilong Yao, 2019. "The Economic Effects of the Development of the Renewable Energy Industry in China," Energies, MDPI, vol. 12(9), pages 1-18, May.
    3. Pursiheimo, Esa & Holttinen, Hannele & Koljonen, Tiina, 2019. "Inter-sectoral effects of high renewable energy share in global energy system," Renewable Energy, Elsevier, vol. 136(C), pages 1119-1129.
    4. Caixia Gao & Mengzhen Gao & Jikai Si & Yihua Hu & Chun Gan, 2019. "A Novel Direct-Drive Permanent Magnet Synchronous Motor with Toroidal Windings," Energies, MDPI, vol. 12(3), pages 1-14, January.
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    Cited by:

    1. Hamed Habibi & Hamed Rahimi Nohooji & Ian Howard & Silvio Simani, 2019. "Fault-Tolerant Neuro Adaptive Constrained Control of Wind Turbines for Power Regulation with Uncertain Wind Speed Variation," Energies, MDPI, vol. 12(24), pages 1-33, December.
    2. Zbigniew Kłosowski & Sławomir Cieślik, 2020. "Real-Time Simulation of Power Conversion in Doubly Fed Induction Machine," Energies, MDPI, vol. 13(3), pages 1-22, February.

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