LIDAR-assisted wind turbine gain scheduling control for load reduction

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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 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
Event22nd International Conference on Automation and Computing, ICAC 2016 - University of Essex, Colchester, United Kingdom
Duration: 7 Sep 20168 Sep 2016
http://www.cacsuk.co.uk/index.php/conferences

Conference

Conference22nd International Conference on Automation and Computing, ICAC 2016
Abbreviated titleICAC 2016
CountryUnited Kingdom
CityColchester
Period7/09/168/09/16
Internet address

Keywords

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

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