Estimation and Control of Wind Turbine Tower Vibrations Based on Individual Blade-Pitch Strategies

Wai Hou Lio*, Bryn Ll Jones, J. Anthony Rossiter

*Corresponding author for this work

    Research output: Contribution to journalJournal articleResearchpeer-review

    253 Downloads (Pure)

    Abstract

    In this brief, we present a method to estimate the tower fore-aft velocity based upon measurements from blade load sensors. In addition, a tower dampening control strategy is proposed based upon an individual blade pitch control architecture that employs this estimate. The observer design presented in this brief exploits the Coleman transformations that convert a time-varying turbine model into one that is linear and time-invariant, greatly simplifying the observability analysis and subsequent observer design. The proposed individual pitch-based tower controller is decoupled from the rotor speed regulation loop and hence does not interfere with the nominal turbine power regulation. Closed-loop results, obtained from high fidelity turbine simulations, show close agreement between the tower estimates and the actual tower velocity. Furthermore, the individual-pitch-based tower controller achieves a similar performance compared with the collective-pitch-based approach but with negligible impact upon the nominal turbine power output.

    Original languageEnglish
    JournalIEEE Transactions on Control Systems Technology
    Volume27
    Issue number4
    Pages (from-to)1820-1828
    ISSN1063-6536
    DOIs
    Publication statusPublished - 2019

    Keywords

    • Active damping control
    • Kalman filter
    • state estimation of dynamical systems
    • wind energy.

    Fingerprint

    Dive into the research topics of 'Estimation and Control of Wind Turbine Tower Vibrations Based on Individual Blade-Pitch Strategies'. Together they form a unique fingerprint.

    Cite this