LIDAR-assisted wind turbine gain scheduling control for load reduction

Jie Bao; Hong Yue; William E. Leithead; Jiqiang Wang

doi:10.1109/IConAC.2016.7604887

LIDAR-assisted wind turbine gain scheduling control for load reduction

Jie Bao, Hong Yue, William E. Leithead, Jiqiang Wang

Electronic And Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

4 Citations (Scopus)

113 Downloads (Pure)

Abstract

A gain-scheduled feedforward controller employing pseudo-LIDAR wind measurement is designed to augment the baseline feedback controller for wind turbine load reduction during above rated operation. The feedforward controller is firstly designed based on a linearised wind turbine model at one specific wind speed, then expanded for full above rated operational envelope with gain scheduling. The wind evolution model is established using the pseudo-LIDAR measurement data which is generated from Bladed using a designed sampling strategy. The combined feedforward and baseline control system is simulated on a 5MW industrial wind turbine model developed at Strathclyde University. Simulation results demonstrate that the gain scheduling feedforward control strategy can improve the rotor and tower load reduction performance for large wind turbines.

Original language	English
Title of host publication	2016 22nd International Conference on Automation and Computing (ICAC)
Publisher	IEEE
Pages	1-6
Number of pages	6
ISBN (Print)	978-1-86218-132-8
DOIs	https://doi.org/10.1109/IConAC.2016.7604887
Publication status	Published - 7 Sep 2016
Event	22nd International Conference on Automation and Computing, ICAC 2016 - University of Essex, Colchester, United Kingdom Duration: 7 Sep 2016 → 8 Sep 2016 http://www.cacsuk.co.uk/index.php/conferences

Conference

Conference	22nd International Conference on Automation and Computing, ICAC 2016
Abbreviated title	ICAC 2016
Country/Territory	United Kingdom
City	Colchester
Period	7/09/16 → 8/09/16
Internet address	http://www.cacsuk.co.uk/index.php/conferences

Keywords

wind turbine control
LIDAR measurement
feedforward control
gain scheduling
load reduction

Access to Document

10.1109/IConAC.2016.7604887

Bao-etal-ICAC-2016-LIDAR-assisted-wind-turbine-gain-scheduling-controlAccepted author manuscript, 574 KB

1 Finished

Supergen Wind Hub
Leithead, B., McDonald, A., McMillan, D., Anaya-Lara, O., Brennan, F., McGregor, P., Attya, A., Campos-Gaona, D., Comerford, D., Hur, S. H., Stock, A. & Yue, H.
19/06/14 → 18/09/19
Project: Research

Cite this

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title = "LIDAR-assisted wind turbine gain scheduling control for load reduction",

abstract = "A gain-scheduled feedforward controller employing pseudo-LIDAR wind measurement is designed to augment the baseline feedback controller for wind turbine load reduction during above rated operation. The feedforward controller is firstly designed based on a linearised wind turbine model at one specific wind speed, then expanded for full above rated operational envelope with gain scheduling. The wind evolution model is established using the pseudo-LIDAR measurement data which is generated from Bladed using a designed sampling strategy. The combined feedforward and baseline control system is simulated on a 5MW industrial wind turbine model developed at Strathclyde University. Simulation results demonstrate that the gain scheduling feedforward control strategy can improve the rotor and tower load reduction performance for large wind turbines.",

keywords = "wind turbine control, LIDAR measurement, feedforward control, gain scheduling, load reduction",

author = "Jie Bao and Hong Yue and Leithead, {William E.} and Jiqiang Wang",

year = "2016",

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booktitle = "2016 22nd International Conference on Automation and Computing (ICAC)",

publisher = "IEEE",

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TY - GEN

T1 - LIDAR-assisted wind turbine gain scheduling control for load reduction

AU - Bao, Jie

AU - Yue, Hong

AU - Leithead, William E.

AU - Wang, Jiqiang

PY - 2016/9/7

Y1 - 2016/9/7

N2 - A gain-scheduled feedforward controller employing pseudo-LIDAR wind measurement is designed to augment the baseline feedback controller for wind turbine load reduction during above rated operation. The feedforward controller is firstly designed based on a linearised wind turbine model at one specific wind speed, then expanded for full above rated operational envelope with gain scheduling. The wind evolution model is established using the pseudo-LIDAR measurement data which is generated from Bladed using a designed sampling strategy. The combined feedforward and baseline control system is simulated on a 5MW industrial wind turbine model developed at Strathclyde University. Simulation results demonstrate that the gain scheduling feedforward control strategy can improve the rotor and tower load reduction performance for large wind turbines.

AB - A gain-scheduled feedforward controller employing pseudo-LIDAR wind measurement is designed to augment the baseline feedback controller for wind turbine load reduction during above rated operation. The feedforward controller is firstly designed based on a linearised wind turbine model at one specific wind speed, then expanded for full above rated operational envelope with gain scheduling. The wind evolution model is established using the pseudo-LIDAR measurement data which is generated from Bladed using a designed sampling strategy. The combined feedforward and baseline control system is simulated on a 5MW industrial wind turbine model developed at Strathclyde University. Simulation results demonstrate that the gain scheduling feedforward control strategy can improve the rotor and tower load reduction performance for large wind turbines.

KW - wind turbine control

KW - LIDAR measurement

KW - feedforward control

KW - gain scheduling

KW - load reduction

U2 - 10.1109/IConAC.2016.7604887

DO - 10.1109/IConAC.2016.7604887

M3 - Conference contribution book

SN - 978-1-86218-132-8

SP - 1

EP - 6

BT - 2016 22nd International Conference on Automation and Computing (ICAC)

PB - IEEE

T2 - 22nd International Conference on Automation and Computing, ICAC 2016

Y2 - 7 September 2016 through 8 September 2016

ER -

LIDAR-assisted wind turbine gain scheduling control for load reduction

Abstract

Conference

Keywords

Access to Document

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Projects

Supergen Wind Hub

Cite this