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In the growing field of wind energy, incorporating wind turbine models into transient stability analysis is essential. Induction and synchronous machines are the primary models used, with induction machines being prevalent due to their simplicity and reliability.
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Related Experiment Video

Updated: Dec 23, 2025

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
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L1 adaptive pitch angle controller of wind energy conversion systems.

Qinmin Yang1, Xuguo Jiao1, Qingshun Luo1

  • 1State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, Zhejiang, 310027, China.

ISA Transactions
|April 20, 2020
PubMed
Summary

A new L1 adaptive controller stabilizes wind turbine power output and generator speed during turbulent winds. This robust method improves performance over traditional techniques without needing exact system details.

Keywords:
adaptive controlNon-affine systemsPitch angle controlSpeed regulationWind energy conversion system

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Area of Science:

  • Engineering
  • Control Systems
  • Renewable Energy

Background:

  • Wind turbines require stable power output and generator speed, especially above rated wind speeds, to prevent system damage and shutdowns.
  • Turbulent wind conditions pose significant challenges to maintaining consistent performance in wind energy conversion systems (WECS).
  • Existing industrial methods may lack robustness and optimal transient control in variable wind environments.

Purpose of the Study:

  • To design and validate a novel L1 adaptive controller for blade pitch control in WECS.
  • To achieve stable output power and generator speed under uncertain and turbulent wind conditions.
  • To demonstrate superior robustness and transient performance compared to conventional control strategies.

Main Methods:

  • Modeling the pitch-regulated variable-speed wind turbine as a non-affine nonlinear system with uncertainties.
  • Developing an L1 adaptive controller comprising a state predictor, adaptive law, and control law.
  • Verifying the controller's feasibility through extensive simulations using the GH Bladed software package.

Main Results:

  • The L1 adaptive controller ensures uniformly bounded transient power response without requiring exact system dynamics or wind speed measurements.
  • The proposed controller demonstrates enhanced robustness and superior transient control performance compared to traditional industrial methods.
  • Simulation studies confirm the effectiveness and feasibility of the L1 adaptive control scheme for WECS.

Conclusions:

  • The novel L1 adaptive controller offers a robust and effective solution for stabilizing WECS performance amidst turbulent wind conditions.
  • This approach enhances the reliability and efficiency of wind power generation by maintaining stable output power and generator speed.
  • The controller's ability to perform without precise system knowledge makes it a practical advancement for the wind energy industry.