>
Fa   |   Ar   |   En
   sliding mode with neural network regulator for dfig using two-level npwm strategy  
   
نویسنده benbouhenni h.
منبع iranian journal of electrical and electronic engineering - 2019 - دوره : 15 - شماره : 3 - صفحه:411 -419
چکیده    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.
کلیدواژه doubly fed induction generator ,neural pulse width modulation ,artificial neural network ,sliding mode control ,neuro-sliding mode control.
آدرس ecole nationale polytechnique d’oran maurice audin, algeria
پست الکترونیکی habib0264@gmail.com
 
     
   
Authors
  
 
 

Copyright 2023
Islamic World Science Citation Center
All Rights Reserved