Volume 14, Issue 4 (December 2018)
IJEEE 2018, 14(4): 362-373 |
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Abstract: (5321 Views)
This paper applied second order sliding mode control (SOSMC) strategy using artificial neural network (ANN) on the rotor side converter of a 1.5 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.
Keywords: Doubly Fed Induction Generator , Artificial Neural Network , Space Vector Modulation , Neural Space Vector Modulation , Total Harmonic Distortion , Second Order Sliding Mode Control
Type of Study: Research Paper |
Subject:
Robust Control
Received: 2018/02/27 | Revised: 2018/12/01 | Accepted: 2018/05/12
Received: 2018/02/27 | Revised: 2018/12/01 | Accepted: 2018/05/12
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