Lower Gain Adaptive Sliding Mode Control of DFIG Stator Powers

We propose in the present paper a lower gain adaptive Sliding Mode Control (SMC) method, of Doubly Fed Induction Generator (DFIG) stator powers. This allows eliminating some problems caused by high gain SMC. The main idea is to put the DFIG model under state space presentation using as states the stator and rotor currents with rotor speed. Using Euler method, the DFIG model can be rewritten as ARMA model, which used to online identification of DFIG resistances and inductances based on Recursive Least Square (RLS) algorithm and Low-Pass Filter (LPF). These identified parameters are used to calculate the stator power control law. In this case, we demonstrated using Lyapunov function that a lower gain satisfied to achieve the control objectives. The viability of our approach is verified by simulation results in the case of DFIG rating at 1.5 MW.