Triaxial accelerometer based azimuth estimator for horizontal axis wind turbines
| dc.contributor.author | Plaza Puértolas, Aitor | |
| dc.contributor.author | Ros Ganuza, Javier | |
| dc.contributor.author | Gainza González, Gorka | |
| dc.contributor.author | Fuentes Lárez, José David | |
| dc.contributor.department | Ingeniería | es_ES |
| dc.contributor.department | Ingeniaritza | eu |
| dc.contributor.department | Institute of Smart Cities - ISC | en |
| dc.contributor.funder | Universidad Pública de Navarra / Nafarroako Unibertsitate Publikoa | es |
| dc.date.accessioned | 2023-10-04T11:58:00Z | |
| dc.date.available | 2023-10-04T11:58:00Z | |
| dc.date.issued | 2023 | |
| dc.date.updated | 2023-10-04T11:28:49Z | |
| dc.description.abstract | One of the elements that receives the greatest stresses is the main shaft. Its damage is directly related to the cyclical nature of its rotational motion. However, the vast majority of horizontal axis wind turbines (HAWT) do not have sensors to measure the main-shaft angular position (azimuth), or they are not always easily accessible. Using a main-shaft placed single triaxial accelerometer for the estimation of the azimuth is proposed as a low intrusion approach that can be easily deployed in machines already in use. An approach using a tandem of two extended Kalman filters (calibration/prediction), aiming for a precise and robust estimation, is presented. The estimator is able to calibrate for accelerometer positional and orientation errors, as well as for bias drift. To simplify the burden of deployment, a simple procedure is proposed to determine the covariance matrices for a particular HAWT from those determined in a synthetic case. The proposed approach is analyzed using synthetic data, OpenFAST simulation of NREL-5MW HAWT. It outperforms the ATAN naive approach by an order of magnitude, showing errors smaller than 0.4o. The filter shows a good behavior, coherent with that of the synthetic setup, when tested on experimental data obtained from a 3MW HAWT. | en |
| dc.description.sponsorship | This work was funded by the “Convocatoria de ayudas a proyectos de I + D del Gobierno de Navarra” under the project Ref. [0011-1365]-2021-000159. Open access funding provided by Universidad Pública de Navarra. | en |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.citation | Plaza, A., Ros, J., Gainza, G., & Fuentes, J. D. (2023). Triaxial accelerometer based azimuth estimator for horizontal axis wind turbines. Journal of Wind Engineering and Industrial Aerodynamics, 240, 105463. https://doi.org/10.1016/j.jweia.2023.105463 | en |
| dc.identifier.doi | 10.1016/j.jweia.2023.105463 | |
| dc.identifier.issn | 0167-6105 | |
| dc.identifier.uri | https://academica-e.unavarra.es/handle/2454/46456 | |
| dc.language.iso | eng | en |
| dc.publisher | Elsevier | en |
| dc.relation.ispartof | Journal of Wind Engineering & Industrial Aerodynamics, 240 (2023) 105463 | en |
| dc.relation.projectID | info:eu-repo/grantAgreement/Gobierno de Navarra//[0011-1365]-2021-000159/ | |
| dc.relation.publisherversion | https://doi.org/10.1016/j.jweia.2023.105463 | |
| dc.rights | © 2023 The Author(s). This is an open access article under the CC BY-NC-ND license. | en |
| dc.rights.accessRights | info:eu-repo/semantics/openAccess | |
| dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | |
| dc.subject | Azimuth estimator | en |
| dc.subject | Low-speed shaft | en |
| dc.subject | Mechanical loads | en |
| dc.subject | Structural health monitoring | en |
| dc.subject | Wind turbine | en |
| dc.title | Triaxial accelerometer based azimuth estimator for horizontal axis 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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