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    Adaptive PID Control of Wind Turbines for Power Regulation with Unknown Control Direction and Actuator Faults

    Access Status
    Fulltext not available
    Authors
    Habibi, H.
    Nohooji, H.
    Howard, Ian
    Date
    2018
    Type
    Journal Article
    
    Metadata
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    Citation
    Habibi, H. and Nohooji, H. and Howard, I. 2018. Adaptive PID Control of Wind Turbines for Power Regulation with Unknown Control Direction and Actuator Faults. IEEE Access. 6: pp. 37464 - 37479.
    Source Title
    IEEE Access
    DOI
    10.1109/ACCESS.2018.2853090
    ISSN
    2169-3536
    School
    School of Civil and Mechanical Engineering (CME)
    URI
    http://hdl.handle.net/20.500.11937/70102
    Collection
    • Curtin Research Publications
    Abstract

    Proportional integral derivative (PID) regulators are the most practical control schemes for industrial wind turbines. The key to PID design is the determination of the control parameter gains, which motivated our attempts to construct an adaptive PID control for wind turbines allowing auto-tuning of the gains without the need for trial and error processes. By equipping a novel PID-based fault-tolerant controller with a Nussbaum-type function, a robust adaptive and fault-tolerant control scheme is developed for wind turbines. Compared with available methods, the proposed controller has advantages such as, ability for dealing with complete nonlinear dynamics of wind turbines including model uncertainty, ability to ensure system stability by using an adaptive self-tuning gain algorithm, and robustness against wind speed variation. Furthermore, it has the ability to accommodate unexpected actuator faults and the accommodation of an unknown control direction. However, the salient feature of the proposed controller lies in its simple structure and inexpensive online computational demands while dealing with the nonlinear dynamics of wind turbines and unknown disturbances. It is shown that the proposed pitch angle controller remains continuous and smooth and all the closed-loop system signals are guaranteed to be uniformly ultimately bounded. Theoretical analysis and numerical simulations are presented to confirm the effectiveness of the proposed control strategy.

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