Efficient Velocity-Based Quasi-Linear Model Predictive Control for Wind Turbine Side-Side Tower Periodic Load Reductions

M. de Neves de Fonseca; Atindriyo K. Pamososuryo; Sebastiaan P. Mulders

doi:10.1109/LCSYS.2024.3508616

Efficient Velocity-Based Quasi-Linear Model Predictive Control for Wind Turbine Side-Side Tower Periodic Load Reductions

M. de Neves de Fonseca, Atindriyo K. Pamososuryo, Sebastiaan P. Mulders

Research output: Contribution to journal › Article › Scientific › peer-review

Abstract

Advancements in wind turbine technology have made wind energy more cost-competitive. While taller towers use less material, they are more susceptible to fatigue. This study introduces a convex model predictive control scheme to actively counteract side-side periodic loads using a velocity-based approach, which captures the system's nonlinear behavior without requiring extensive prior operating points. A quasi-linear parameter-varying dynamic model for wind turbine towers is established through model demodulation transformation. Simulation results show a 96% reduction in net force in the side-side direction at the tower top under turbulent wind conditions.

Original language	English
Pages (from-to)	2619-2624
Number of pages	6
Journal	IEEE Control Systems Letters
Volume	8
DOIs	https://doi.org/10.1109/LCSYS.2024.3508616
Publication status	Published - 2024

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

Energy systems
linear parameter-varying systems
predictive control for nonlinear systems

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10.1109/LCSYS.2024.3508616

Cite this

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title = "Efficient Velocity-Based Quasi-Linear Model Predictive Control for Wind Turbine Side-Side Tower Periodic Load Reductions",

abstract = "Advancements in wind turbine technology have made wind energy more cost-competitive. While taller towers use less material, they are more susceptible to fatigue. This study introduces a convex model predictive control scheme to actively counteract side-side periodic loads using a velocity-based approach, which captures the system's nonlinear behavior without requiring extensive prior operating points. A quasi-linear parameter-varying dynamic model for wind turbine towers is established through model demodulation transformation. Simulation results show a 96% reduction in net force in the side-side direction at the tower top under turbulent wind conditions.",

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note = "Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.",

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doi = "10.1109/LCSYS.2024.3508616",

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AU - Mulders, Sebastiaan P.

N1 - Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

PY - 2024

Y1 - 2024

N2 - Advancements in wind turbine technology have made wind energy more cost-competitive. While taller towers use less material, they are more susceptible to fatigue. This study introduces a convex model predictive control scheme to actively counteract side-side periodic loads using a velocity-based approach, which captures the system's nonlinear behavior without requiring extensive prior operating points. A quasi-linear parameter-varying dynamic model for wind turbine towers is established through model demodulation transformation. Simulation results show a 96% reduction in net force in the side-side direction at the tower top under turbulent wind conditions.

AB - Advancements in wind turbine technology have made wind energy more cost-competitive. While taller towers use less material, they are more susceptible to fatigue. This study introduces a convex model predictive control scheme to actively counteract side-side periodic loads using a velocity-based approach, which captures the system's nonlinear behavior without requiring extensive prior operating points. A quasi-linear parameter-varying dynamic model for wind turbine towers is established through model demodulation transformation. Simulation results show a 96% reduction in net force in the side-side direction at the tower top under turbulent wind conditions.

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JF - IEEE Control Systems Letters

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Efficient Velocity-Based Quasi-Linear Model Predictive Control for Wind Turbine Side-Side Tower Periodic Load Reductions

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Keywords

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