The Use of Preview Wind Measurements for Blade Pitch Control

Jason Laks; Lucy Pao; Alan Wright; Neil Kelley; Bonnie Jonkman

doi:10.1016/j.mechatronics.2011.02.003

The Use of Preview Wind Measurements for Blade Pitch Control

Jason Laks, Lucy Pao, Alan Wright, Neil Kelley, Bonnie Jonkman

Center for Energy Conversion and Storage Systems

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

78 Scopus Citations

Abstract

Light detection and ranging systems are able to measure conditions at a distance in front of wind turbines and are therefore suited to providing preview information of wind disturbances before they impact the turbine blades. In this study, preview-based disturbance feedforward control is investigated for load mitigation. Performance is evaluated assuming highly idealized wind measurements that rotate with the blades and compared to performance using more realistic stationary measurements. The results obtained using idealized, "best case" measurements show that excellent performance gains are possible with reasonable pitch rates. However, the results using more realistic wind measurements show that without further optimization of the controller and/or better processing of measurements, errors in determining the shear local to each blade can remove any advantage obtained by using preview-based feedforward techniques.

Original language	American English
Pages (from-to)	668-681
Number of pages	14
Journal	Mechatronics
Volume	21
Issue number	4
DOIs	https://doi.org/10.1016/j.mechatronics.2011.02.003 https://doi.org/10.1016/j.mechatronics.2011.02.003
State	Published - Jun 2011

NREL Publication Number

NREL/JA-5000-52342

Keywords

Feedforward
H-infinity
Independent pitch
Load mitigation
Preview control
Wind turbine

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title = "The Use of Preview Wind Measurements for Blade Pitch Control",

abstract = "Light detection and ranging systems are able to measure conditions at a distance in front of wind turbines and are therefore suited to providing preview information of wind disturbances before they impact the turbine blades. In this study, preview-based disturbance feedforward control is investigated for load mitigation. Performance is evaluated assuming highly idealized wind measurements that rotate with the blades and compared to performance using more realistic stationary measurements. The results obtained using idealized, {"}best case{"} measurements show that excellent performance gains are possible with reasonable pitch rates. However, the results using more realistic wind measurements show that without further optimization of the controller and/or better processing of measurements, errors in determining the shear local to each blade can remove any advantage obtained by using preview-based feedforward techniques.",

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T1 - The Use of Preview Wind Measurements for Blade Pitch Control

AU - Laks, Jason

AU - Pao, Lucy

AU - Wright, Alan

AU - Kelley, Neil

AU - Jonkman, Bonnie

PY - 2011/6

Y1 - 2011/6

N2 - Light detection and ranging systems are able to measure conditions at a distance in front of wind turbines and are therefore suited to providing preview information of wind disturbances before they impact the turbine blades. In this study, preview-based disturbance feedforward control is investigated for load mitigation. Performance is evaluated assuming highly idealized wind measurements that rotate with the blades and compared to performance using more realistic stationary measurements. The results obtained using idealized, "best case" measurements show that excellent performance gains are possible with reasonable pitch rates. However, the results using more realistic wind measurements show that without further optimization of the controller and/or better processing of measurements, errors in determining the shear local to each blade can remove any advantage obtained by using preview-based feedforward techniques.

AB - Light detection and ranging systems are able to measure conditions at a distance in front of wind turbines and are therefore suited to providing preview information of wind disturbances before they impact the turbine blades. In this study, preview-based disturbance feedforward control is investigated for load mitigation. Performance is evaluated assuming highly idealized wind measurements that rotate with the blades and compared to performance using more realistic stationary measurements. The results obtained using idealized, "best case" measurements show that excellent performance gains are possible with reasonable pitch rates. However, the results using more realistic wind measurements show that without further optimization of the controller and/or better processing of measurements, errors in determining the shear local to each blade can remove any advantage obtained by using preview-based feedforward techniques.

KW - Feedforward

KW - H-infinity

KW - Independent pitch

KW - Load mitigation

KW - Preview control

KW - Wind turbine

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The Use of Preview Wind Measurements for Blade Pitch Control

Abstract

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Keywords

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