Main shaft instantaneous azimuth estimation for wind turbines
dc.contributor.author | Zivanovic, Miroslav | |
dc.contributor.author | Vilella San Martín, Iñigo | |
dc.contributor.author | Iriarte Goñi, Xabier | |
dc.contributor.author | Plaza Puértolas, Aitor | |
dc.contributor.author | Gainza González, Gorka | |
dc.contributor.author | Carlosena García, Alfonso | |
dc.contributor.department | Ingeniería Eléctrica, Electrónica y de Comunicación | es_ES |
dc.contributor.department | Ingeniaritza Elektrikoa, Elektronikoa eta Telekomunikazio Ingeniaritza | eu |
dc.contributor.department | Ingeniería | es_ES |
dc.contributor.department | Ingeniaritza | eu |
dc.contributor.department | Institute of Smart Cities - ISC | en |
dc.contributor.funder | Gobierno de Navarra / Nafarroako Gobernua | |
dc.date.accessioned | 2025-02-24T11:26:19Z | |
dc.date.issued | 2025-04-01 | |
dc.date.updated | 2025-02-24T11:18:29Z | |
dc.description.abstract | We 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.sponsorship | This 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.mimetype | application/pdf | en |
dc.identifier.citation | Zivanovic, 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.doi | 10.1016/j.ymssp.2025.112478 | |
dc.identifier.issn | 0888-3270 | |
dc.identifier.uri | https://academica-e.unavarra.es/handle/2454/53545 | |
dc.language.iso | eng | |
dc.publisher | Elsevier | |
dc.relation.ispartof | Mechanical Systems and Signal Processing (2025), vol. 228, 112478 | |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-107258RB-C32/ES/ | |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/TED2021-131052B-C21/ | |
dc.relation.projectID | info:eu-repo/grantAgreement/Gobierno de Navarra//0011-1365-2021-000199/ | |
dc.relation.publisherversion | https://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.accessRights | info:eu-repo/semantics/openAccess | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.subject | Wind turbine | en |
dc.subject | Azimuth | en |
dc.subject | Inertial measurement unit | en |
dc.subject | Kalman filter | en |
dc.subject | Instantaneous phase | en |
dc.title | Main shaft instantaneous azimuth estimation for wind turbines | en |
dc.type | info:eu-repo/semantics/article | |
dc.type.version | info:eu-repo/semantics/publishedVersion | |
dspace.entity.type | Publication | |
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