Electrical engineering

Physics

Control engineering

Nonlinear system

Lyapunov stability

MATLAB

Backstepping

Induction generator

Gene

Adaptive control

Operating system

Engineering

Voltage

Artificial intelligence

Power (physics)

Control (management)

Chemistry

Converters

Computer science

Quantum mechanics

Wind power

Electric power system

Control theory (sociology)

Biochemistry

Lyapunov function

Robustness (evolution)

Scientific Reports

This paper presents a new contribution in the field of the optimization of the techniques of control of the wind systems and the improvement of the quality of energy produced in the grid. The Sliding Mode control technique gives quite interesting results, but its major drawback lies in the phenomenon of chattering (oscillations), which reduces the system's precision. We propose in this work a solution to cancel this chattering phenomenon by the implication of the adaptive Backstepping technique to control the powers of the double-fed asynchronous generator (DFIG) connected to the electrical network by two converters (network side and side machine) in the nominal part of the sliding mode model. This hybrid technique will correct errors of precision and stability and the performance of the wind system obtained in terms of efficiency, active and reactive power is significant. First, a review of the wind system was presented. Then, an exhaustive explanation of the Backstepping technique based on the Lyapunov stability and optimization method has been reported. Subsequently, a validation on the Matlab &amp; Simulink environment was carried out to test the performance and robustness of the proposed model. The results obtained from this work, either by follow-up or robustness tests, show a significant performance improvement compared to other control techniques.

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