LIDAR-assisted wind turbine gain scheduling control for load reduction

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

1 Citation (Scopus)

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.
LanguageEnglish
Title of host publication2016 22nd International Conference on Automation and Computing (ICAC)
PublisherIEEE
Pages1-6
Number of pages6
ISBN (Print)978-1-86218-132-8
DOIs
Publication statusPublished - 7 Sep 2016
EventThe 22nd International Conference on Automation and Computing - University of Essex, Colchester, United Kingdom
Duration: 7 Sep 20168 Sep 2016
http://www.cacsuk.co.uk/index.php/conferences

Conference

ConferenceThe 22nd International Conference on Automation and Computing
Abbreviated titleICAC 2016
CountryUnited Kingdom
City Colchester
Period7/09/168/09/16
Internet address

Fingerprint

Wind turbines
Scheduling
Controllers
Feedforward control
Towers
Rotors
Sampling
Feedback
Control systems

Keywords

  • wind turbine control
  • LIDAR measurement
  • feedforward control
  • gain scheduling
  • load reduction

Cite this

Bao, J., Yue, H., Leithead, W. E., & Wang, J. (2016). LIDAR-assisted wind turbine gain scheduling control for load reduction. In 2016 22nd International Conference on Automation and Computing (ICAC) (pp. 1-6). IEEE. https://doi.org/10.1109/IConAC.2016.7604887
Bao, Jie ; Yue, Hong ; Leithead, William E. ; Wang, Jiqiang. / LIDAR-assisted wind turbine gain scheduling control for load reduction. 2016 22nd International Conference on Automation and Computing (ICAC). IEEE, 2016. pp. 1-6
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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",
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Bao, J, Yue, H, Leithead, WE & Wang, J 2016, LIDAR-assisted wind turbine gain scheduling control for load reduction. in 2016 22nd International Conference on Automation and Computing (ICAC). IEEE, pp. 1-6, The 22nd International Conference on Automation and Computing, Colchester, United Kingdom, 7/09/16. https://doi.org/10.1109/IConAC.2016.7604887

LIDAR-assisted wind turbine gain scheduling control for load reduction. / Bao, Jie; Yue, Hong; Leithead, William E.; Wang, Jiqiang.

2016 22nd International Conference on Automation and Computing (ICAC). IEEE, 2016. p. 1-6.

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

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PY - 2016/9/7

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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.

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Bao J, Yue H, Leithead WE, Wang J. LIDAR-assisted wind turbine gain scheduling control for load reduction. In 2016 22nd International Conference on Automation and Computing (ICAC). IEEE. 2016. p. 1-6 https://doi.org/10.1109/IConAC.2016.7604887