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Sensorless fractional order composite sliding mode control design for wind generation system.

Irfan Sami1, Shafaat Ullah2, Nasim Ullah3

  • 1School of Electrical and Electronics Engineering, Chung-Ang University, Dongjak-gu, Seoul, 06974, South Korea.

ISA Transactions
|November 16, 2020
PubMed
Summary
This summary is machine-generated.

A new fuzzy fractional-order terminal sliding mode control (Fuzzy-FOSMC) enhances wind power transfer. This advanced control system improves stability and eliminates chattering, even with uncertainties, for efficient grid integration.

Keywords:
Fractional order sliding mode control (FOSMC)Fuzzy controlSliding mode control (SMC)Wind power generation system

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Area of Science:

  • Electrical Engineering
  • Control Systems
  • Renewable Energy

Background:

  • Efficient power transfer from wind power generation systems (WPGS) to the grid requires high-performance control.
  • Existing control methods face challenges with chattering and parametric uncertainties.

Purpose of the Study:

  • To introduce a novel Fuzzy-FOSMC for improved WPGS power transfer.
  • To develop a robust wind speed estimation technique using Gaussian Process Regression (GPR).
  • To validate the proposed control strategy's performance and stability.

Main Methods:

  • Design of a Fuzzy-FOSMC by integrating a fuzzy system into a fractional order terminal sliding mode control (FOTSMC) framework.
  • Development of a GPR-based wind speed estimation technique using wind turbine power and rotational speed.
  • Stability analysis using the Lyapunov stability theorem.
  • Extensive simulations in Matlab/SIMULINK and processor-in-the-loop (PIL) experiments.

Main Results:

  • The Fuzzy-FOSMC effectively eliminates chattering while maintaining system stability.
  • The GPR-based wind speed estimation shows superior performance compared to existing methods.
  • The proposed Fuzzy-FOSMC outperforms benchmark Sliding Mode Control (SMC) and FOTSMC strategies in simulations and experiments.

Conclusions:

  • The Fuzzy-FOSMC offers a robust and efficient solution for maximum power transfer in WPGS.
  • The GPR-based wind speed estimation enhances the overall control system performance.
  • The proposed control paradigm demonstrates significant improvements in stability and chattering reduction under various conditions.