Conference programme

Back to the programme printer.gif Print



Thursday, 19 November 2015
09:00 - 10:30 Control & LiDAR
Turbine technology  
Onshore      Offshore    


Room: Montmartre

Novel approaches to balancing competing and multivariable control objectives, including results from field tests   

  • LiDAR-assisted feedforward control algorithms
  • An adaptive data processing technique for LiDAR-assisted control
  • Advanced H∞ controllers 

Learning objectives

  • Delegates will be able to list LiDAR technologies
  • Delegates will be able to identify how LiDAR-assisted control can be developed, independent of turbine
  • Delegates will be able to explain alternative approaches to designing multivariable control 
Lead Session Chair:
Mauro Villanueva, Gamesa, Spain
Jan van Wingerden, TU Delft, The Netherlands
David Schlipf University of Stuttgart, Germany
Co-authors:
David Schlipf (1) F Paul Fleming (2) Steffen Raach (1) Andrew Scholbrock (2) Florian Haizmann (1) Raghu Krishnamurthy (3) Matthieu Boquet (3) Alan Wright (2) Po Wen Cheng (1)
(1) University of Stuttgart, Stuttgart, Germany (2) NREL, Boulder, United States (3) Avent Lidar Technology, Orsay, France

Share this presentation on:

Printer friendly version: printer.gif Print

Presenter's biography

Biographies are supplied directly by presenters at EWEA 2015 and are published here unedited

David Schlipf studied engineering cybernetics at the University of Stuttgart, Germany, and the Universidade Federal do Rio Grande do Sul, Brazil and received his diploma in 2007. He joined the Stuttgart Wind Energy, as a Research and Teaching Assistant in 2008. Since 2013 he is leading the Research Group Control, Optimization and Monitoring and his research interests include predictive control of wind turbines and wind measurements with LIDAR. Since October 2014, he is a research scholar at University of Colorado Boulder and NREL continuing field tests of lidar-assisted controllers and performing research in the field of floating wind turbine control.

Abstract

View abstract