Preprints
https://doi.org/10.5194/wes-2026-134
https://doi.org/10.5194/wes-2026-134
14 Aug 2026
 | 14 Aug 2026
Status: this preprint is currently under review for the journal WES.

Fixed Frame Control-Oriented Modeling and Characterization of Asymmetric Wind Disturbances for Advanced Individual Pitch Control Design

Daniel Lacheta-Lecumberri, Irene Miquelez-Madariaga, and Jorge Elso

Abstract. The development of advanced load reduction strategies is becoming increasingly important for modern wind turbines, making it essential to incorporate both the dynamics and the characteristics of the wind disturbances responsible for structural loading into the control design process. In this context, this work proposes a control-oriented framework that combines the modeling and characterization of asymmetric wind disturbances. Starting from a linearized model with distributed horizontal wind inputs, the inflow is reduced to three equivalent disturbances in a fixed reference frame through a sensitivity-based aggregation of the wind field. The methodology is validated on the IEA 15 MW Reference Wind Turbine, including all relevant aeroelastic degrees of freedom, through turbulent OpenFAST simulations. The results demonstrate accurate reconstruction of open-loop time-domain responses and prediction of closed-loop output spectra, enabling control design to be directly focused on the disturbances to be rejected while reducing the reliance on computationally expensive aeroelastic simulations.

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Daniel Lacheta-Lecumberri, Irene Miquelez-Madariaga, and Jorge Elso

Status: open (until 11 Sep 2026)

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Daniel Lacheta-Lecumberri, Irene Miquelez-Madariaga, and Jorge Elso
Daniel Lacheta-Lecumberri, Irene Miquelez-Madariaga, and Jorge Elso
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Short summary
A new method to represent and analyze the effect of uneven wind conditions on a wind turbine is presented. The method simplifies complex wind effects into three representative disturbances and accurately reconstructs turbine responses and predicts their spectra under different control strategies. By linking controller design directly to the disturbances that generate structural loads, it enables faster and more systematic controller design.
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