Online Estimation of wind turbine blade deflection with UWB signals

Tobias Lindstrøm Jensen, Morten Lomholt Jakobsen, Jan Østergaard, Jesper Kjær Nielsen, Claus Byskov, Peter Bæk, Søren Holdt Jensen

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

7 Citations (Scopus)

Abstract

In this paper we use ultra-wideband (UWB) signals for the localization of blade tips on wind turbines. Our approach is to acquire two separate distances to each tip via time-delay estimation, and each tip is then localized by triangulation. We derive an approximate maximum a posteriori (MAP) delay
estimator exploiting i) contextual prior information and ii) a direct-path approximation. The resulting deflection estimation algorithm is computationally feasible for online usage. Simulation studies are conducted to assess the overall triangulation uncertainty and it is observed that negative correlation between the two distance estimates is detrimental for the tip localization accuracy. Measurement data acquired in an anechoic chamber is used to confirm that the UWB-hardware complies with the desired/relevant ranging accuracy. Finally, measurement data obtained from a static test bench is used to demonstrate that the approximate MAP-based localization algorithm is able to outperform standard methods.
Original languageEnglish
Title of host publication23rd European Signal Processing Conference (EUSIPCO)
PublisherIEEE Press
Publication date2015
Pages1187-1191
ISBN (Electronic)978-0-9928626-4-0
DOIs
Publication statusPublished - 2015
EventEuropean Signal Processing Conference (EUSIPCO) - Nice, France
Duration: 31 Aug 20154 Sep 2015

Conference

ConferenceEuropean Signal Processing Conference (EUSIPCO)
CountryFrance
CityNice
Period31/08/201504/09/2015
SeriesProceedings of the European Signal Processing Conference
ISSN2076-1465

Fingerprint

Triangulation
Ultra-wideband (UWB)
Wind turbines
Turbomachine blades
Anechoic chambers
Time delay
Hardware
Uncertainty

Cite this

Jensen, T. L., Jakobsen, M. L., Østergaard, J., Nielsen, J. K., Byskov, C., Bæk, P., & Jensen, S. H. (2015). Online Estimation of wind turbine blade deflection with UWB signals. In 23rd European Signal Processing Conference (EUSIPCO) (pp. 1187-1191). IEEE Press. Proceedings of the European Signal Processing Conference https://doi.org/10.1109/EUSIPCO.2015.7362570
Jensen, Tobias Lindstrøm ; Jakobsen, Morten Lomholt ; Østergaard, Jan ; Nielsen, Jesper Kjær ; Byskov, Claus ; Bæk, Peter ; Jensen, Søren Holdt. / Online Estimation of wind turbine blade deflection with UWB signals. 23rd European Signal Processing Conference (EUSIPCO). IEEE Press, 2015. pp. 1187-1191 (Proceedings of the European Signal Processing Conference).
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title = "Online Estimation of wind turbine blade deflection with UWB signals",
abstract = "In this paper we use ultra-wideband (UWB) signals for the localization of blade tips on wind turbines. Our approach is to acquire two separate distances to each tip via time-delay estimation, and each tip is then localized by triangulation. We derive an approximate maximum a posteriori (MAP) delayestimator exploiting i) contextual prior information and ii) a direct-path approximation. The resulting deflection estimation algorithm is computationally feasible for online usage. Simulation studies are conducted to assess the overall triangulation uncertainty and it is observed that negative correlation between the two distance estimates is detrimental for the tip localization accuracy. Measurement data acquired in an anechoic chamber is used to confirm that the UWB-hardware complies with the desired/relevant ranging accuracy. Finally, measurement data obtained from a static test bench is used to demonstrate that the approximate MAP-based localization algorithm is able to outperform standard methods.",
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Jensen, TL, Jakobsen, ML, Østergaard, J, Nielsen, JK, Byskov, C, Bæk, P & Jensen, SH 2015, Online Estimation of wind turbine blade deflection with UWB signals. in 23rd European Signal Processing Conference (EUSIPCO). IEEE Press, Proceedings of the European Signal Processing Conference, pp. 1187-1191, European Signal Processing Conference (EUSIPCO), Nice, France, 31/08/2015. https://doi.org/10.1109/EUSIPCO.2015.7362570

Online Estimation of wind turbine blade deflection with UWB signals. / Jensen, Tobias Lindstrøm; Jakobsen, Morten Lomholt; Østergaard, Jan; Nielsen, Jesper Kjær; Byskov, Claus; Bæk, Peter; Jensen, Søren Holdt.

23rd European Signal Processing Conference (EUSIPCO). IEEE Press, 2015. p. 1187-1191 (Proceedings of the European Signal Processing Conference).

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

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AB - In this paper we use ultra-wideband (UWB) signals for the localization of blade tips on wind turbines. Our approach is to acquire two separate distances to each tip via time-delay estimation, and each tip is then localized by triangulation. We derive an approximate maximum a posteriori (MAP) delayestimator exploiting i) contextual prior information and ii) a direct-path approximation. The resulting deflection estimation algorithm is computationally feasible for online usage. Simulation studies are conducted to assess the overall triangulation uncertainty and it is observed that negative correlation between the two distance estimates is detrimental for the tip localization accuracy. Measurement data acquired in an anechoic chamber is used to confirm that the UWB-hardware complies with the desired/relevant ranging accuracy. Finally, measurement data obtained from a static test bench is used to demonstrate that the approximate MAP-based localization algorithm is able to outperform standard methods.

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Jensen TL, Jakobsen ML, Østergaard J, Nielsen JK, Byskov C, Bæk P et al. Online Estimation of wind turbine blade deflection with UWB signals. In 23rd European Signal Processing Conference (EUSIPCO). IEEE Press. 2015. p. 1187-1191. (Proceedings of the European Signal Processing Conference). https://doi.org/10.1109/EUSIPCO.2015.7362570