Sun, QiaoSaberi Nasrabad, Vahid2016-01-272016-01-272016-01-272016Saberi Nasrabad, V. (2016). Data-Driven Modeling of Wind Turbine Structural Dynamics and Its Application to Wind Speed Estimation (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/25518http://hdl.handle.net/11023/2788In wind turbine control systems, the wind speed measurement is used in order to derive the optimal shaft speed for achieving the Maximum Power Point Tracking (MPPT) and to adjust the pitch angle optimally for protecting the turbine from excessive loading. In this thesis, a tower detection based effective wind speed estimation method is proposed. The tower dynamics is identified using subspace system identification method. To estimate the effective wind speed, an online model-based aerodynamic thrust force estimator is designed and implemented using Kalman filter and recursive least square algorithm. The estimated aerodynamic thrust force is used as an input to a neural network estimator to solve the inverse aerodynamic thrust force equation and estimate the effective wind speed. Finally, the simulation results for effective wind speed estimation for a turbulent wind field are presented and an evaluation method based on correlation coefficient is used to validate the results.engUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.EnergyEngineering--Mechanicalwind powerWind TurbineSystem IdentificationControl SystemsDynamicsVibrationEstimationWind speed estimationPitch controlwind turbine controlwind turbine modelingeffective wind speedTower deflectionData driven modelingrecursive least squaresNeural Networkinverse problemTurbulencesubspace system identificationvariable speed variable pitch wind turbinesKalman FilterBlade element momentum (BEM) theoryThrust force estimationfore-aft deflectionHammerstein System4SIDmaster thesis10.11575/PRISM/25518