Please use this identifier to cite or link to this item: /library/oar/handle/123456789/88154
Title: Damping of torsional vibrations in a variable-speed wind turbine
Authors: Licari, John
Ugalde-Loo, Carlos E.
Ekanayake, Janaka B.
Jenkins, Nicholas
Keywords: Kalman filtering
Model-based reasoning
Real-time programming
Stability
Uncertainty
Wind turbines
Issue Date: 2012
Publisher: IEEE
Citation: Licari, J., Ugalde-Loo, C. E., Ekanayake, J. B., & Jenkins, N. (2012). Damping of torsional vibrations in a variable-speed wind turbine. IEEE Transactions on Energy Conversion, 28(1), 172-180.
Abstract: Torsional dampers are employed in wind turbines to damp vibrations in the drive-train. The conventional design is based on band-pass filters (BPF); however, its effectiveness can be compromised due to parametric uncertainty. To restore the performance of the damper, it is a common practice to re-tune it during the commissioning of wind turbines. To overcome this shortcoming, a model-based torsional damper was designed and its performance compared to the conventional approach when subjected to model uncertainty. A stability analysis was conducted and simulations were performed in Simulink. A real-time hardware-in-the loop experiment was carried out, with experimental and simulation results showing good agreement. The proposed model-based torsional vibration damper showed a superior performance over the conventional BPF-based approach. Results also showed that the model-based damper can eliminate the need for retuning procedures associated with BPF-based designs.
URI: https://www.um.edu.mt/library/oar/handle/123456789/88154
Appears in Collections:Scholarly Works - FacEngEE

Files in This Item:
File Description SizeFormat 
Damping_of_torsional_vibrations_in_a_variable-speed_wind_turbine.pdf
  Restricted Access
302.12 kBAdobe PDFView/Open Request a copy


Items in OAR@UM are protected by copyright, with all rights reserved, unless otherwise indicated.