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    Optimum efficiency control of a wind turbine with unknown desired trajectory and actuator faults

    258917.pdf (4.543Mb)
    Access Status
    Open access
    Authors
    Habibi, H.
    Rahimi Nohooji, H.
    Howard, Ian
    Date
    2017
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Habibi, H. and Rahimi Nohooji, H. and Howard, I. 2017. Optimum efficiency control of a wind turbine with unknown desired trajectory and actuator faults. Journal of Renewable and Sustainable Energy. 9 (6): Article ID 063305.
    Source Title
    Journal of Renewable and Sustainable Energy
    DOI
    10.1063/1.5003380
    ISSN
    1941-7012
    School
    School of Civil and Mechanical Engineering (CME)
    URI
    http://hdl.handle.net/20.500.11937/61626
    Collection
    • Curtin Research Publications
    Abstract

    The operational wind turbine efficiency in the power maximization regions and reliability improvement to reduce the produced power cost can both be enhanced by using an appropriate controller to cope with the highly nonlinear behavior of wind turbines in the presence of wind speed variation and actuator faults. In this regard, a nonlinear controller is proposed to make the wind turbine operate effectively despite some of the actuator faults, similar to the fault-free case. The considered actuator faults are pitch and generator actuator biases, as well as pitch actuator dynamic change, including pump wear, hydraulic leak, and high air content in the oil. Also, the wind speed is assumed to be an unmeasurable disturbance, and, accordingly, when using the neural network scheme, the unknown desired trajectory is reconstructed, so that the captured power is maximized. The proposed controller is shown to be able to keep the wind turbine tracking the reconstructed desired trajectory with sufficient accuracy. By using the Lyapunov analysis, the boundedness of the closed-loop system with the proposed controller is proven. The designed controller is verified via numerical simulations. The effectiveness of the proposed controller is evaluated in comparison with industrial constant gain controller results.

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