Identification of Modal Damping Ratios for a Simplified Wind Turbine Tower Using Fourier Analysis

Author(s):  
Paul J. Murtagh ◽  
Biswajit Basu ◽  
Brian M. Broderick

This paper presents an approach to evaluate the modal damping ratios for a simplified wind turbine tower, using Fourier analysis and linear regression. The model proposed for the wind turbine tower is composed of a flexible tower and rotor blade system, inter-connected using a sub-structuring technique, which facilitates the rotating blade/tower coupling. A model order reduction technique is first used to model each of the two sub-structures (tower/nacelle and rotor system) as single degree-of-freedom systems. The free vibration characteristics of the tower include the effects of a large nacelle mass at the towers free end, and the corresponding properties of the rotating blades include the effects of centrifugal stiffening and axial self-weight, due to rotation. Then, the two reduced order sub systems are then coupled together to form an equivalent two degree-of-freedom coupled tower/blade wind turbine tower model. A wind-induced forced vibration analysis of the coupled tower/blades model is carried out using artificially generated wind drag time-histories obtained as discrete Fourier transform representations of wind drag power spectral density functions. From this analysis, a method is proposed, based on Fourier analysis and the linear regression, to solve the inverse problem for evaluating the first and second modal damping ratios of the coupled system. A numerical example is presented in order to demonstrate the applicability of the proposed approach, where excellent agreement was observed between the originally specified modal damping ratios and the subsequently estimated ones. The proposed method can be extended to obtain the equivalent damping of the system with soil interaction and including aerodynamic damping.

2013 ◽  
Vol 712-715 ◽  
pp. 1494-1500
Author(s):  
Bi Feng Cao ◽  
Hui Yu

The paper uses the finite element software ANSYS to establish a 1.5 MW horizontal-axis wind turbine tower model as an example and works on the modal analysis. The modal analysis takes into account the totalmass of wind rotor and nacelle and assumes the bottom of the wind turbine tower is fully constrained. The result shows that the natural frequency of the 1.5MW wind turbine tower is not coincident with the excitation frequency of the wind turbine, and the wind turbine can operate stably at the design condition.


2012 ◽  
Vol 487 ◽  
pp. 588-592
Author(s):  
Zhen Yun Duan ◽  
Xiao Jiao Liu ◽  
Tie Qiang Ma

In order to improve the design efficiency of wind turbine tower, a design method which combines configuration and parametric design is proposed, the general structure model of wind turbine tower is given, and the parameter relation model of tower components is established. Based on skeleton and coordinate system coincident method, the automatic assembly of 3D tower model is realized. An automated 3D design software system of wind turbine tower is built by the API of Pro/E. The validity of the system is proved by wind turbine SUT-1500.


Author(s):  
Vahid Saberi Nasrabad ◽  
Ali Hajnayeb ◽  
Qiao Sun

The deflection of the wind turbine tower can provide us with rich information about the effective wind speed. In this paper, a new method for effective wind speed estimation is proposed based on tower deflection. The tower vibration model is derived and a subspace identification method is used to identify the model parameters. An online estimator of aerodynamic thrust force based on the identified tower model is designed and then implemented using a Kalman filter together with a recursive least squares algorithm. The estimated aerodynamic thrust force is then used as an input to a neural network estimator, which is trained to invert the aerodynamic thrust force equation and estimate the effective wind speed. In order to show the performance of the proposed estimator, the estimated thrust force and wind speed are compared and verified with a third-party simulation data of a 1.5 MW wind turbine. The comparison shows close agreement between their values.


2015 ◽  
Vol 135 (3) ◽  
pp. 200-206 ◽  
Author(s):  
Yoki Ikeda ◽  
Naoto Nagaoka ◽  
Yoshihiro Baba

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