Abstract
This paper analyzes the formulation of a wind turbine digital shadow using a Kalman filter to estimate tower loads. At first, a simple model is considered, which is limited to the sole fore-aft dynamics of the tower. Next, to quantify the potential benefits of a more refined approach, the tower side-side motion and the blade flapwise and edgewise degrees of freedom are added to the filter-internal model. For both the simple and refined formulations, the model coefficients are optionally scheduled as functions of the inflow conditions. Preliminary results, limited to non-waked and non-misaligned conditions, indicate that the refined formulation has some positive - but limited - effects on the quality of the tower fore-aft loading. Additionally, it is found that the scheduling of the coefficients does not further improve the results.
| Originalsprache | Englisch |
|---|---|
| Aufsatznummer | 032026 |
| Fachzeitschrift | Journal of Physics: Conference Series |
| Jahrgang | 2767 |
| Ausgabenummer | 3 |
| DOIs | |
| Publikationsstatus | Veröffentlicht - 2024 |
| Veranstaltung | 2024 Science of Making Torque from Wind, TORQUE 2024 - Florence, Italien Dauer: 29 Mai 2024 → 31 Mai 2024 |
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