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

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

8 Citationer (Scopus)

Abstrakt

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.
OriginalsprogEngelsk
Titel23rd European Signal Processing Conference (EUSIPCO)
ForlagIEEE Press
Publikationsdato2015
Sider1187-1191
ISBN (Elektronisk)978-0-9928626-4-0
DOI
StatusUdgivet - 2015
BegivenhedEuropean Signal Processing Conference (EUSIPCO) - Nice, Frankrig
Varighed: 31 aug. 20154 sep. 2015

Konference

KonferenceEuropean Signal Processing Conference (EUSIPCO)
LandFrankrig
ByNice
Periode31/08/201504/09/2015
NavnProceedings of the European Signal Processing Conference
ISSN2076-1465

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