LIDAR-Based FX-RLS Feedforward Control for Wind Turbine Load Mitigation

Na Wang, Kathryn E. Johnson, Alan D. Wright

Research output: Contribution to conferencePaperpeer-review

13 Scopus Citations

Abstract

An adaptive feedforward controller based on a filtered-x recursive least square (FX-RLS) algorithm and a non-adaptive feedforward controller based on a zero-phase-error tracking control (ZPETC) technique have been designed to augment a collective pitch proportional-integral (PI) feedback controller for wind turbine rotor speed regulation and component load reduction when the turbine is operating in above rated wind speed. The feedforward controllers use wind speed measurements provided by a commercial light detection and ranging (LIDAR) system. Simulations show that augmenting the baseline PI feedback control with ZPETC feedforward control improves the blade loads but worsens the tower loads. The FX-RLS feedforward algorithm gives better performance than both the baseline PI feedback and the ZPETC feedforward in both tower (fore-aft and side-to-side) and blade (flapwise and edgewise) bending moment mitigation, even with a realistic 1 Hz LIDAR data update rate.

Original languageAmerican English
Pages1910-1915
Number of pages6
StatePublished - 2011
Event2011 American Control Conference, ACC 2011 - San Francisco, CA, United States
Duration: 29 Jun 20111 Jul 2011

Conference

Conference2011 American Control Conference, ACC 2011
Country/TerritoryUnited States
CitySan Francisco, CA
Period29/06/111/07/11

NREL Publication Number

  • NREL/CP-5000-53261

Keywords

  • LIDAR
  • load mitigation
  • wind energy
  • wind turbine

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