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

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.