Advanced system identification techniques for wind turbine structures

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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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9 p.

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Bialasiewicz, J.T. & Osgood, R.M. March 1, 1995.

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Description

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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9 p.

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OSTI as DE95004049

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  • 1995 Society for Experimental Mechanics spring conference, Grand Rapids, MI (United States), 12-14 Jun 1995

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  • Other: DE95004049
  • Report No.: NREL/TP--442-6930
  • Report No.: CONF-9506145--2
  • Grant Number: AC36-83CH10093
  • DOI: 10.2172/87043 | External Link
  • Office of Scientific & Technical Information Report Number: 36500
  • Archival Resource Key: ark:/67531/metadc688470

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Office of Scientific & Technical Information Technical Reports

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  • March 1, 1995

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  • July 25, 2015, 2:20 a.m.

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  • March 25, 2016, 12:42 p.m.

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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 November 20, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.