The new approach to modal parameter identification, presented in this paper, uses an asymptotically stable observed to form a discrete state-space model for a wind turbine structure. The identification is performed using input-output time-series. A special software package developed in this research has been tested using the data generated by the ADAMS{trademark} model of the Micon 65/13 wind turbine structure. Numerical and graphical presentation of some of the results, generated by the programs developed, illustrates the range of their applicability.
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National Renewable Energy Lab., Golden, CO (United States)
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Golden, Colorado
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The new approach to modal parameter identification, presented in this paper, uses an asymptotically stable observed to form a discrete state-space model for a wind turbine structure. The identification is performed using input-output time-series. A special software package developed in this research has been tested using the data generated by the ADAMS{trademark} model of the Micon 65/13 wind turbine structure. Numerical and graphical presentation of some of the results, generated by the programs developed, illustrates the range of their applicability.
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Bialasiewicz, J.T. & Osgood, R.M.Advanced system identification techniques for wind turbine structures,
article,
March 1, 1995;
Golden, Colorado.
(digital.library.unt.edu/ark:/67531/metadc688470/:
accessed February 21, 2019),
University of North Texas Libraries, Digital Library, digital.library.unt.edu;
crediting UNT Libraries Government Documents Department.
