TY - GEN
T1 - Comparison of system identification techniques for predicting dynamic properties of large scale wind turbines by using the simulated time response
AU - Meng, Fanzhong
AU - Ozbek, Muammer
AU - Rixen, Daniel J.
AU - Van Tooren, Michel J.L.
PY - 2011
Y1 - 2011
N2 - Accurate prediction of the dynamics of large wind turbines in state-space model is very important in analyzing the aero-elastic stability problem which is known as one of the design issues associating with increase in size of wind turbines. In this work, two different system identification techniques known as Least Square Complex Exponential (LSCE) method and Sub-space System Identification (SSI) will be investigated in terms of their efficiencies in predicting the dynamic characteristics of a wind turbine blade by using the simulated responses of a reference wind turbine. The results obtained through two different methods are then compared in order to discuss their performance and sensitivity to the simulation data and identification parameters. It shows that these two methods are able to identify the frequencies and damping ratios of the aero-elastic modes for large wind turbine blade when the time domain data set contains enough number of cycles.
AB - Accurate prediction of the dynamics of large wind turbines in state-space model is very important in analyzing the aero-elastic stability problem which is known as one of the design issues associating with increase in size of wind turbines. In this work, two different system identification techniques known as Least Square Complex Exponential (LSCE) method and Sub-space System Identification (SSI) will be investigated in terms of their efficiencies in predicting the dynamic characteristics of a wind turbine blade by using the simulated responses of a reference wind turbine. The results obtained through two different methods are then compared in order to discuss their performance and sensitivity to the simulation data and identification parameters. It shows that these two methods are able to identify the frequencies and damping ratios of the aero-elastic modes for large wind turbine blade when the time domain data set contains enough number of cycles.
UR - http://www.scopus.com/inward/record.url?scp=80051535957&partnerID=8YFLogxK
U2 - 10.1007/978-1-4419-9716-6_31
DO - 10.1007/978-1-4419-9716-6_31
M3 - Conference contribution
AN - SCOPUS:80051535957
SN - 9781441997159
T3 - Conference Proceedings of the Society for Experimental Mechanics Series
SP - 339
EP - 349
BT - Structural Dynamics and Renewable Energy - Proceedings of the 28th IMAC, A Conference on Structural Dynamics, 2010
PB - Springer New York LLC
ER -