Robust sliding-Backstepping mode control of a wind system based on the DFIG generator

Area of Science:

• Electrical Engineering
• Control Systems
• Renewable Energy

Background:

• Sliding Mode Control (SMC) offers effective wind system control but suffers from chattering, reducing precision.
• Chattering in SMC leads to oscillations and decreased performance in wind energy conversion systems.

Purpose of the Study:

• To propose a hybrid control strategy combining adaptive Backstepping and SMC to mitigate chattering.
• To enhance the precision, stability, and power quality of the double-fed asynchronous generator (DFIG) in wind systems.

Main Methods:

• Developed a hybrid control technique integrating adaptive Backstepping with the nominal part of the SMC model.
• Utilized Lyapunov stability and optimization principles for the Backstepping technique.
• Validated the proposed model in the Matlab & Simulink environment.

Main Results:

• The hybrid technique effectively cancels the chattering phenomenon inherent in SMC.
• Demonstrated significant improvements in system efficiency, active power, and reactive power control.
• Robustness tests confirmed superior performance compared to existing control methods.

Conclusions:

• The proposed adaptive Backstepping-Sliding Mode control hybrid technique offers a robust solution for DFIG power control.
• This method significantly enhances the stability and performance of wind energy systems.
• The approach leads to improved energy quality and system efficiency.