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Fault-Tolerant Control for Actuator Faults of Wind Energy Conversion System

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)

  • Jisheng Li

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

Abstract

The problem of robust fault-tolerant control for actuators of nonlinear systems with uncertain parameters is studied in this paper. Takagi–Sugeno (T-S) fuzzy model is used to describe the wind energy conversion system (WECS). Fuzzy dedicated observer (FDO) and fuzzy proportional integral observer (FPIO) are established to reconstruct the system state and actuator fault, respectively. Fuzzy Robust Scheduling Fault-Tolerant Controller (FRSFTC) is designed by parallel distributed compensation (PDC) method, so as to realize the purpose of active fault tolerance for actuator faults and ensure the robust stability of the system. The stability of the closed-loop system is proved by Taylor series, Lyapunov function, and Linear Matrix Inequalities (LMIs). Finally, the simulation results verify that the proposed method is feasible and effective applied to WECS with doubly fed induction generators (DFIG).

Suggested Citation

  • Guodong You & Tao Xu & Honglin Su & Xiaoxin Hou & Jisheng Li, 2019. "Fault-Tolerant Control for Actuator Faults of Wind Energy Conversion System," Energies, MDPI, vol. 12(12), pages 1-16, June.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:12:p:2350-:d:241158
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    References listed on IDEAS

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    4. 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.
    5. Tiwari, Ramji & Babu, N. Ramesh, 2016. "Recent developments of control strategies for wind energy conversion system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 268-285.
    6. Cho, Seongpil & Gao, Zhen & Moan, Torgeir, 2018. "Model-based fault detection, fault isolation and fault-tolerant control of a blade pitch system in floating wind turbines," Renewable Energy, Elsevier, vol. 120(C), pages 306-321.
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    Cited by:

    1. Ashkan Taherkhani & Farhad Bayat & Kaveh Hooshmandi & Andrzej Bartoszewicz, 2022. "Generalized Sliding Mode Observers for Simultaneous Fault Reconstruction in the Presence of Uncertainty and Disturbance," Energies, MDPI, vol. 15(4), pages 1-20, February.

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