Wave Feedforward Control for Large Floating Wind Turbines

Amr Hegazy; Peter Naaijen; Jan Willem Van Wingerden

doi:10.1109/CCTA54093.2023.10252529

Wave Feedforward Control for Large Floating Wind Turbines

Amr Hegazy^*, Peter Naaijen, Jan Willem Van Wingerden

^*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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Abstract

Floating wind energy has attracted substantial interest since it enables the deployment of renewable wind energy in deeper waters. However, floating wind turbines are subjected to disturbances, predominantly from turbulence in the wind and waves hitting the platform. Wave disturbances cause undesired oscillations in speed and increase structural loading. This paper focuses on mitigating these disturbance effects with feedforward control using knowledge of the incoming wavefield. The control problem is formulated in an H∞ optimization framework designing two wave feedforward controllers: one to reduce rotor speed oscillations, and the other one to minimize the platform pitch motion. Mid-fidelity time-domain simulations demonstrate the improved performance of the proposed control algorithm regarding wave disturbance mitigation at the cost of higher actuator duty.

Original language	English
Title of host publication	Proceedings of the 2023 IEEE Conference on Control Technology and Applications, CCTA 2023
Publisher	IEEE
Pages	593-598
ISBN (Electronic)	979-8-3503-3544-6
DOIs	https://doi.org/10.1109/CCTA54093.2023.10252529
Publication status	Published - 2023
Event	2023 IEEE Conference on Control Technology and Applications, CCTA 2023 - Bridgetown, Barbados Duration: 16 Aug 2023 → 18 Aug 2023

Conference

Conference	2023 IEEE Conference on Control Technology and Applications, CCTA 2023
Country/Territory	Barbados
City	Bridgetown
Period	16/08/23 → 18/08/23

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.

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10.1109/CCTA54093.2023.10252529

Wave_Feedforward_Control_for_Large_Floating_Wind_TurbinesFinal published version, 1.77 MB

Cite this

@inproceedings{9f0f7ef84ec14ce2aee7019e8fad2027,

title = "Wave Feedforward Control for Large Floating Wind Turbines",

abstract = "Floating wind energy has attracted substantial interest since it enables the deployment of renewable wind energy in deeper waters. However, floating wind turbines are subjected to disturbances, predominantly from turbulence in the wind and waves hitting the platform. Wave disturbances cause undesired oscillations in speed and increase structural loading. This paper focuses on mitigating these disturbance effects with feedforward control using knowledge of the incoming wavefield. The control problem is formulated in an H∞ optimization framework designing two wave feedforward controllers: one to reduce rotor speed oscillations, and the other one to minimize the platform pitch motion. Mid-fidelity time-domain simulations demonstrate the improved performance of the proposed control algorithm regarding wave disturbance mitigation at the cost of higher actuator duty.",

author = "Amr Hegazy and Peter Naaijen and {Van Wingerden}, {Jan Willem}",

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.; 2023 IEEE Conference on Control Technology and Applications, CCTA 2023 ; Conference date: 16-08-2023 Through 18-08-2023",

year = "2023",

doi = "10.1109/CCTA54093.2023.10252529",

language = "English",

pages = "593--598",

booktitle = "Proceedings of the 2023 IEEE Conference on Control Technology and Applications, CCTA 2023",

publisher = "IEEE",

address = "United States",

}

Hegazy, A , Naaijen, P & Van Wingerden, JW 2023, Wave Feedforward Control for Large Floating Wind Turbines. in Proceedings of the 2023 IEEE Conference on Control Technology and Applications, CCTA 2023. IEEE, pp. 593-598, 2023 IEEE Conference on Control Technology and Applications, CCTA 2023, Bridgetown, Barbados, 16/08/23. https://doi.org/10.1109/CCTA54093.2023.10252529

TY - GEN

T1 - Wave Feedforward Control for Large Floating Wind Turbines

AU - Hegazy, Amr

AU - Naaijen, Peter

AU - Van Wingerden, Jan Willem

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 - 2023

Y1 - 2023

N2 - Floating wind energy has attracted substantial interest since it enables the deployment of renewable wind energy in deeper waters. However, floating wind turbines are subjected to disturbances, predominantly from turbulence in the wind and waves hitting the platform. Wave disturbances cause undesired oscillations in speed and increase structural loading. This paper focuses on mitigating these disturbance effects with feedforward control using knowledge of the incoming wavefield. The control problem is formulated in an H∞ optimization framework designing two wave feedforward controllers: one to reduce rotor speed oscillations, and the other one to minimize the platform pitch motion. Mid-fidelity time-domain simulations demonstrate the improved performance of the proposed control algorithm regarding wave disturbance mitigation at the cost of higher actuator duty.

AB - Floating wind energy has attracted substantial interest since it enables the deployment of renewable wind energy in deeper waters. However, floating wind turbines are subjected to disturbances, predominantly from turbulence in the wind and waves hitting the platform. Wave disturbances cause undesired oscillations in speed and increase structural loading. This paper focuses on mitigating these disturbance effects with feedforward control using knowledge of the incoming wavefield. The control problem is formulated in an H∞ optimization framework designing two wave feedforward controllers: one to reduce rotor speed oscillations, and the other one to minimize the platform pitch motion. Mid-fidelity time-domain simulations demonstrate the improved performance of the proposed control algorithm regarding wave disturbance mitigation at the cost of higher actuator duty.

UR - http://www.scopus.com/inward/record.url?scp=85173843476&partnerID=8YFLogxK

U2 - 10.1109/CCTA54093.2023.10252529

DO - 10.1109/CCTA54093.2023.10252529

M3 - Conference contribution

AN - SCOPUS:85173843476

SP - 593

EP - 598

BT - Proceedings of the 2023 IEEE Conference on Control Technology and Applications, CCTA 2023

PB - IEEE

T2 - 2023 IEEE Conference on Control Technology and Applications, CCTA 2023

Y2 - 16 August 2023 through 18 August 2023

ER -

Wave Feedforward Control for Large Floating Wind Turbines

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Bibliographical note

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