en Robust Control Robust Control Research Paper Research Paper <div style="text-align: justify;"><span style="color:#000000;"><span style="font-size:14px;"><span style="font-family:times new roman;">This paper applied second order sliding mode control (SOSMC) strategy using artificial neural network (ANN) on the rotor side converter of a 1.5&nbsp;MW doubly fed induction generator (DFIG) integrated in a wind turbine system. In this work, the converter is controlled by a neural space vector modulation (NSVM) technique in order to reduce powers ripples and total harmonic distortion (THD) of stator current. The validity of the proposed control technique applied on the DFIG is verified by Matlab/Simulink. The active power, reactive power, torque and stator current are determined and compared with conventional control method. Simulation results presented in this paper shown that the proposed control scheme reduces the THD value and powers ripples compared to traditional control under various operating conditions.</span></span></span></div> Doubly Fed Induction Generator,Artificial Neural Network,Space Vector Modulation,Neural Space Vector Modulation,Total Harmonic Distortion,Second Order Sliding Mode Control, 362 373 http://ijeee.iust.ac.ir/browse.php?a_code=A-10-2401-3&slc_lang=en&sid=1 H. Benbouhenni habib0264@gmail.com 180031947532846007040 180031947532846007040 Yes Ecole Nationale Polytechnique d’Oran Maurice Audin, Algeria. Z. Boudjema boudjemaa1983@yahoo.fr 180031947532846007041 180031947532846007041 No Electrical Engineering Department, Faculty of Technology, Hassiba Benbouali University, Chlef, Algeria. A. Belaidi belaidiaek@gmail.com 180031947532846007042 180031947532846007042 No Ecole Nationale Polytechnique d’Oran Maurice Audin, Algeria.