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Identification of the Dynamics of Large Wind Turbines by Using Photogrammetry

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Structural Dynamics and Renewable Energy, Volume 1

Abstract

In this work, the initial results of the infield tests performed to investigate the feasibility of using photogrammetry in monitoring the dynamics of large scale wind turbines in operation are presented. Within the scope of the work, the response of a wind turbine, with a rotor diameter of eighty meters, was captured by using four CCD cameras simultaneously while the turbine was in operation. The captured response was then analyzed by using two different system identification techniques based on Least Square Complex Exponential (LSCE) method and Sub-space System Identification (SSI) while the dynamic characteristics (the frequencies, damping ratios and mode shapes) of the turbine were derived. Possible effects of very high modal damping ratios and relatively short measurement periods on the identified results were also considered.

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References

  1. Mikhail, E. M., Bethel, J. S. and McGlone, J. C., Introduction to Modern Photogrammetry, Wiley, Newyork, 2001.

    Google Scholar 

  2. Chang, C. and Ji, Y., Flexible videogrammetric technique for three-dimensional structural vibration measurement, ASCE Journal of Engineering Mechanics, Vol. 133, No. 6, 2007.

    Google Scholar 

  3. Ozbek, M., Rixen, D. J. and Verbruggen, T. W., Remote monitoring of wind turbine dynamics by laser interferometry: Phase1, 28thIMAC, International Modal Analysis Conference Proceedings, Orlando,Florida, U.S.A., Feb. 2009.

    Google Scholar 

  4. Corten, G. and Sabel, J., Optical motion analysis of wind turbines, Technical Report, SV Research Group, Delft University of Technology, 1995.

    Google Scholar 

  5. Tamura, Y., Matsui, M., Pagnini, L., Ishibashi, R. and Yoshida, A., Measurement of wind-induced response of buildings using RTK-GPS, J. of Wind Eng Ind Aerodyn, Vol. 90, pp. 1783–93, 2002.

    Article  Google Scholar 

  6. Nakamura, S., GPS measurement of wind-induced suspension bridge girder displacements, Journal of Structural Engineering ASCE, Vol. 126, No. 12.

    Google Scholar 

  7. Rademakers, L., Verbruggen, T., van der Werff, P., Korterink, H., Richon, D., Rey, P. and Lancon, F., Fiber optic blade monitoring, European Wind Energy Conference, London, November 2004.

    Google Scholar 

  8. Maia, N. and Silva, J. (editors), Theoretical and Experimental Modal Analysis, Research Studies Press Ltd., Somerser, England, 1997, isbn 0 86380 208 7.

    Google Scholar 

  9. James, G. H., Carne, T. G. and Lauffer, J. P., The Natural Excitation Technique (NExT) for Modal Parameter Extraction from Operating Structures, Journal of Analytical and Experimental Modal Analysis, Vol. 10, No. 4, pp. 260–277, October 1995.

    Google Scholar 

  10. Mohanty, P. and Rixen, D. J., Operational modal analysis in the presence of harmonic excitation, Journal of Sound and Vibration, Vol. 270, pp. 93–109, 2004.

    Article  Google Scholar 

  11. van Overschee, P. and Moor, B. D., Subspace Identification for Linear Systems: Theory - Implementation - Applications, New York: Springe, 1st edition, 1996.

    Google Scholar 

  12. James, G. H., Carne, T. G. and Lauffer, J. P., The Natural Excitation Technique (NExT) for modal parameter extraction from operating wind turbines, Technical Report SAND92-1666, Sandia National Laboratories, 1993.

    Google Scholar 

  13. James, G. H., Carne, T. G. and Veers, P., Damping measurements using operational data, ASME Journal of Solar Energy Engineering, Vol. 118, pp. 190–193, 1996.

    Article  Google Scholar 

  14. Hansen, M. H., Thomsen, K. and Fuglsang, P., Two methods for estimating aeroelastic damping of operational wind turbine modes from experiments, Wind Energy, Vol. 9, pp. 179–191, 2006.

    Article  Google Scholar 

  15. GOM Optical Measuring Techniques, www.gom.com.

  16. Meng, F., Ozbek, M., Rixen, D. J. and van Tooren, M. J. L., Comparison of System Identification Techniques for Predicting Dynamic Properties of Large Scale Wind Turbines by Using the Simulated Time Response, 28thIMAC, International Modal Analysis Conference Proceedings, Jacksonville, Florida, U.S.A., Feb. 2010.

    Google Scholar 

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© 2011 The Society for Experimental Mechanics, Inc.

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Ozbek, M., Meng, F., Rixen, D.J., van Tooren, M.J.L. (2011). Identification of the Dynamics of Large Wind Turbines by Using Photogrammetry. In: Proulx, T. (eds) Structural Dynamics and Renewable Energy, Volume 1. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-9716-6_32

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  • DOI: https://doi.org/10.1007/978-1-4419-9716-6_32

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4419-9715-9

  • Online ISBN: 978-1-4419-9716-6

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