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

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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
Issue number4
Pages (from-to)1820-1828
Publication statusPublished - 2019


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

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