Comparative study between NSVM and FSVM strategy for a DFIG-based wind turbine system controlled by neuro-second order sliding mode

Abstract

Abstract

In this article, we present a comparative study between fuzzy space vector modulation (FSVM) and neural space vector modulation (NSVM) inverter in neuro-second order sliding mode control (NSOSMC) of stator reactive power and stator active power command of a doubly fed induction generator (DFIG) based wind turbine system (WTS). The effectiveness and viability of the NSVM and FSVM strategy are established by simulation results. The stator active power, stator reactive power, electromagnetic torque and stator current are resolute and compared in the underneath techniques. The obtained results showed that, the proposed NSOSMC with FSVM inverter have electromagnetic torque, stator reactive and stator active powers with low ripples and low stator current harmonic distortion than NSVM inverter.