Main shaft instantaneous azimuth estimation for wind turbines

dc.contributor.authorZivanovic, Miroslav
dc.contributor.authorVilella San Martín, Iñigo
dc.contributor.authorIriarte Goñi, Xabier
dc.contributor.authorPlaza Puértolas, Aitor
dc.contributor.authorGainza González, Gorka
dc.contributor.authorCarlosena García, Alfonso
dc.contributor.departmentIngeniería Eléctrica, Electrónica y de Comunicaciónes_ES
dc.contributor.departmentIngeniaritza Elektrikoa, Elektronikoa eta Telekomunikazio Ingeniaritzaeu
dc.contributor.departmentIngenieríaes_ES
dc.contributor.departmentIngeniaritzaeu
dc.contributor.departmentInstitute of Smart Cities - ISCen
dc.contributor.funderGobierno de Navarra / Nafarroako Gobernua
dc.date.accessioned2025-02-24T11:26:19Z
dc.date.issued2025-04-01
dc.date.updated2025-02-24T11:18:29Z
dc.description.abstractWe present a novel approach to estimating the instantaneous main shaft angular position in the context of wind turbine structural health monitoring. We show that only two IMU channels - gyroscope axial and accelerometer tangential - contain enough information to build an acceleration state-space model that properly captures the rotational dynamics of a wind turbine. The kernel of the model is an in-phase and quadrature time-varying sinusoid whose argument is driven by the integral of the gyroscope output. This approach clearly stands in contrast to most state-of-the-art methods, where the gyroscope output is explicitly modeled. The model equation describes the states dynamics, which simultaneously assesses the instantaneous amplitude and initial phase of the angular displacement through a first-order autoregressive process. Such a state-space model features only two states per time instant; furthermore, it is linear-in-states and therefore straightforwardly estimated by the linear Kalman filter. It is shown that the instantaneous azimuth estimates obtained from the state-space model, linearly combined with the gyroscope output, effectively cancel out the long-term drift in the estimate. The benchmark results suggest that the proposed method outperforms a state-of-the-art method, in terms of robustness against noise and adaptability to changing operating regimes in a wind turbine.en
dc.description.sponsorshipThis work has been supported by the Spanish Research Agency, under grant AEI/FEDER PID2019-107258RB-C32, the EU/PTR Next Generation Funds, under grant TED2021-131052B-C21, and the Government of Navarre under grant 0011-1365-2021-000199.
dc.format.mimetypeapplication/pdfen
dc.identifier.citationZivanovic, M., Vilella, I., Iriarte, X., Plaza, A., Gainza, G., Carlosena, A. (2025). Main shaft instantaneous azimuth estimation for wind turbines. Mechanical Systems and Signal Processing, 228, 1-21. https://doi.org/10.1016/j.ymssp.2025.112478.
dc.identifier.doi10.1016/j.ymssp.2025.112478
dc.identifier.issn0888-3270
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/53545
dc.language.isoeng
dc.publisherElsevier
dc.relation.ispartofMechanical Systems and Signal Processing (2025), vol. 228, 112478
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-107258RB-C32/ES/
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/TED2021-131052B-C21/
dc.relation.projectIDinfo:eu-repo/grantAgreement/Gobierno de Navarra//0011-1365-2021-000199/
dc.relation.publisherversionhttps://doi.org/10.1016/j.ymssp.2025.112478
dc.rights© 2025 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license.
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectWind turbineen
dc.subjectAzimuthen
dc.subjectInertial measurement uniten
dc.subjectKalman filteren
dc.subjectInstantaneous phaseen
dc.titleMain shaft instantaneous azimuth estimation for wind turbinesen
dc.typeinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dspace.entity.typePublication
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