• DocumentCode
    1615316
  • Title

    Wind turbine nacelle movement estimation using FEM model

  • Author

    Nam, Yoonsu ; Yoon, Tai Jun

  • Author_Institution
    Dept. of Mech. & Mechatron. Eng., Kangwon Nat. Univ., Chunchon
  • fYear
    2008
  • Firstpage
    1913
  • Lastpage
    1916
  • Abstract
    The compensation of wind speed considering the effect of nacelle movement is required for the performance and control analysis of wind turbine. It is not easy to find some suitable sensors for measuring nacelle movement velocity. A Kalman filter estimating the nacelle movement is introduced. Several mathematical models describing the nacelle-tower dynamics are developed, and combined with the estimator. The performance of estimator based on the Euler-Bernoulli beam model is not satisfactory. However, estimation result using a simple lumped parameter model for the nacelle-tower dynamics is much better than the above, even though there are 10% errors. Itpsilas anticipated that the estimator using FEM model will provide better performance characteristics. This paper introduces some initial experimental and analysis results using a small scale laboratory model for a wind turbine nacelle and tower.
  • Keywords
    Kalman filters; compensation; finite element analysis; power generation control; velocity measurement; wind turbines; Euler-Bernoulli beam model; FEM model; Kalman filter; lumped parameter model; mathematical model; nacelle movement estimation; nacelle-tower dynamics; velocity measurement; wind speed compensation; wind turbine control; Acceleration; Aerodynamics; Capacitive sensors; Equations; Mathematical model; Mechatronics; Motion estimation; Poles and towers; Wind speed; Wind turbines; Accelerometer; FEM; Kalman filter; Strain gauge; Wind turbine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation and Systems, 2008. ICCAS 2008. International Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-89-950038-9-3
  • Electronic_ISBN
    978-89-93215-01-4
  • Type

    conf

  • DOI
    10.1109/ICCAS.2008.4694409
  • Filename
    4694409