Volume 15, Issue 3 (September 2019)                   IJEEE 2019, 15(3): 411-419 | Back to browse issues page

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Benbouhenni H. Sliding Mode with Neural Network Regulator for DFIG Using Two-Level NPWM Strategy. IJEEE 2019; 15 (3) :411-419
URL: http://ijeee.iust.ac.ir/article-1-1358-en.html
Sliding Mode with Neural Network Regulator for DFIG Using Two-Level NPWM Strategy
H. Benbouhenni
Abstract:   (4490 Views)
This article presents a sliding mode control (SMC) with artificial neural network (ANN) regulator for the doubly fed induction generator (DFIG) using two-level neural pulse width modulation (NPWM) technique. The proposed control scheme of the DFIG-based wind turbine system (WTS) combines the advantages of SMC control and ANN regulator. The reaching conditions, robustness and stability of the system with the proposed control are guaranteed. The SMC method which is insensitive to uncertainties, including parameter variations and external disturbances in the whole control process. Finally, the SMC control with neural network regulator (NSMC) is used to control the stator reactive and a stator active power of a DFIG supplied by the NPWM strategy and confirms the validity of the proposed approach. Results of simulations containing tests of robustness and tracking tests are presented.
Keywords: Doubly Fed Induction Generator , Neural Pulse Width Modulation , Artificial Neural Network , Sliding Mode Control , Neuro-Sliding Mode Control
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Type of Study: Research Paper | Subject: Robust Control
Received: 2018/10/12 | Revised: 2019/06/05 | Accepted: 2018/12/28
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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
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© 2022 by the authors. Licensee IUST, Tehran, Iran. This is an open access journal distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license.