On the Optimal Azimuth Offset for Individual Pitch Control in Aeroelastic Code Coupled with a High-Fidelity Flow Solver

Conference Paper (2024)
Author(s)

A. A.W. van Vondelen (TU Delft - Team Jan-Willem van Wingerden)

Atindriyo Kusumo Pamososuryo (TU Delft - Team Jan-Willem van Wingerden)

ST Navalkar (Siemens Gamesa Renewable Energy)

Jan Willem Wingerden (TU Delft - Team Jan-Willem van Wingerden)

Research Group
Team Jan-Willem van Wingerden
DOI related publication
https://doi.org/10.23919/ECC64448.2024.10590980
More Info
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Publication Year
2024
Language
English
Research Group
Team Jan-Willem van Wingerden
Pages (from-to)
2411-2416
ISBN (electronic)
978-3-9071-4410-7
Reuse Rights

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Abstract

To justify the use of two single-input single-output (SISO) control loops instead of more complex multi-input multi-output (MIMO) control, the axes in a wind turbine's pitch control system should be fully decoupled using the multi-blade coordinate transform. To achieve that, usually, an azimuth offset is required, correcting for phase lags originating from, e.g., actuator delays and blade flexibility. In wind turbine simulations, this parameter is commonly obtained by analysis of the linearized turbine models. This work, however, demonstrates that analyzing linearized turbine models is not sufficient for correcting the full phase lag when coupling wind turbine simulation tools to large-eddy simulators (LES), since additional phase lags may arise. Instead, this work proposes deriving the azimuth offset using data-driven modelling directly in coupled LES, where data is generated by exciting the structure with pseudo-random binary noise. Using this approach it was found that the optimal azimuth offset is three degrees higher than when using the linearized model, which demonstrates that deriving the optimal azimuth offset from linearized models is not suitable for coupled simulations.

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