Robust, Gain-Scheduled Control of Wind Turbines

Kasper Zinck Østergaard

Research output: PhD thesis

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Abstract

Wind turbines are today large and efficient machines, which are combined into wind farms operating on par with conventional power plants. When looking back, this is significantly different from the status only a few years ago, when wind turbines were sold mainly to private people. This change in turbine owners has resulted in a new focus on operational reliability instead of turbine size.

This research deals with investigating model-based gain-scheduling control of wind turbines by use of linear parameter varying (LPV) methods. The numerical challenges grow quickly with the model size and the main focus for the research has been to identify and develop algorithms with which LPV controllers can be designed by non-experts in LPV theory.

Original languageEnglish
Place of PublicationAalborg
Publisher
Print ISBNs978-87-90664-33-6
Publication statusPublished - 2008

Keywords

  • Wind turbines
  • Linear parameter varying (LPV) control
  • Numerical conditioning
  • Gain scheduling
  • Linear Matrix inequalities (LMIs)
  • Industrial applications of optimal control
  • Power systems
  • Output feedback control

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