Wind Turbine Pitch Control and Load Mitigation Using an L1 Adaptive Approach

  • Danyong LI
  • , Yongduan SONG
  • , Wenchuan CAI*
  • , Peng LI
  • , Hamid R. KARIMI
  • *Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)peer-review

16 Citations (Scopus)

Abstract

We present an application of L1 adaptive output feedback control design to wind turbine collective pitch control and load mitigation. Our main objective is the design of an L1 output feedback controller without wind speed estimation, ensuring that the generator speed tracks the reference trajectory with robustness to uncertain parameters and time-varying disturbances (mainly the uniform wind disturbance across the wind turbine rotor). The wind turbine model CART (controls advanced research turbine) developed by the national renewable energy laboratory (NREL) is used to validate the performance of the proposed L1 adaptive controller using the FAST (fatigue, aerodynamics, structures, and turbulence) code. A comparative study is also conducted between the proposed controller and the most popular methods in practice: gain scheduling PI (GSPI) controls and disturbance accommodating control (DAC) methods. The results show better performance of L1 output feedback controller over the other two methods. Moreover, based on the FAST software and LQR analysis in the reference model selection of L1 adaptive controller, tradeoff can be achieved between control performance and loads mitigation.
Original languageEnglish
Article number719803
JournalMathematical Problems in Engineering
Volume2014
Early online date16 Apr 2014
DOIs
Publication statusPublished - 2014
Externally publishedYes

Bibliographical note

The authors appreciate Naira Hovakimyan for her advice about the L1 adaptive control theory in our paper.

Funding

This work was supported in part by the CSC (China Scholarship Council), the Major State Basic Research Development Program 973 (no. 2012CB215202), the National Natural Science Foundation of China (nos. 61134001, 61203124, and 51207007), and State Key Laboratory of Traffic Control and Safety Research Program (no. RCS2011ZT013).

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