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dc.contributor.author
Trummer, Phillip
dc.contributor.author
Polonelli, Tommaso
dc.contributor.author
Deparday, Julien
dc.contributor.author
Abdallah, Imad
dc.contributor.author
Magno, Michele
dc.date.accessioned
2023-09-07T13:50:12Z
dc.date.available
2023-08-20T04:26:58Z
dc.date.available
2023-09-07T13:50:12Z
dc.date.issued
2023
dc.identifier.isbn
979-8-3503-3694-8
en_US
dc.identifier.other
10.1109/IWASI58316.2023.10164363
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/627355
dc.description.abstract
Wind turbines have played a significant role in the transition toward renewable energy sources. Accurately determining the position and motion of the rotor blades has emerged as a crucial feature for advancing their adoption and widespread use. The problem addressed in this paper is the use of a single low-power and cost-effective Inertial Measurement Unit (IMU) mounted on a wind turbine blade for position and motion estimation. Standard attitude algorithms can be used to estimate the position of a sensor relative to the earth's frame. However, they cannot extract information about additional blade features, such as the pitch angle or the occurrence of flap-wise deflections. This paper establishes a novel framework that facilitates the identification and estimation of dynamic wind turbine angles by defining appropriate reference frames. Experimentally acquired IMU data is used to extract rotation matrices that establish the relationship between reference frames. Experimental results show the possibility of estimating the blade orientation, deflection, and twist with a approximate to 1. precision, in addition to the relative blade altitude with an error of 5mm.
en_US
dc.language.iso
en
en_US
dc.publisher
IEEE
en_US
dc.title
Blade Position and Motion Estimation on the Surface of a Rotating Wind Turbine Through a Single MEMS IMU
en_US
dc.type
Conference Paper
dc.date.published
2023-07-03
ethz.book.title
IEEE International Workshop on Advances in Sensors and Interfaces (IWASI)
en_US
ethz.pages.start
40
en_US
ethz.pages.end
45
en_US
ethz.event
9th International Workshop on Advances in Sensors and Interfaces (IWASI)
en_US
ethz.event.location
Monopoli, Italy
en_US
ethz.event.date
June 8-9, 2023
en_US
ethz.grant
AeroSense: a novel MEMS‐based surface pressure and acoustic IoT measurement system for wind turbines
en_US
ethz.identifier.wos
ethz.publication.place
Washington, DC
en_US
ethz.publication.status
published
en_US
ethz.grant.agreementno
187087
ethz.grant.fundername
SNF
ethz.grant.funderDoi
10.13039/501100001711
ethz.grant.program
Bridge - Discovery
ethz.date.deposited
2023-08-20T04:27:15Z
ethz.source
WOS
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2023-09-07T13:50:13Z
ethz.rosetta.lastUpdated
2023-09-07T13:50:13Z
ethz.rosetta.versionExported
true
ethz.COinS
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