Open AccessComparison Study Between Neural STSM and ANFIS-STSM Method in DPC Control Scheme of DFIG-based Dual-rotor Wind Turbines
Author(s) -
Habib Benbouhenni,
Boudjema Zinelaabidine,
Belidi Abdelkader
Publication year - 2020
Publication title -
international journal of energy and environment
Language(s) - English
Resource type - Journals
ISSN - 2308-1007
DOI - 10.46300/91012.2020.14.7
Subject(s) - adaptive neuro fuzzy inference system , control theory (sociology) , computer science , doubly fed electric machine , artificial neural network , fuzzy logic , fuzzy control system , power (physics) , control (management) , ac power , artificial intelligence , physics , quantum mechanics
This work presents the comparison study between neural super-twisting sliding mode control (NSTSM) and adaptive-network-based fuzzy inference system-STSM (ANFIS-STSM) algorithm of the doubly fed induction generator (DFIG) controlled by direct power control (DPC). The mathematical model of the three-phase DFIG has been described. The descriptions of the DPC strategy, NSTSM and the ANFIS-STSM algorithm have been presented. The DPC strategy with NSTSM and ANFIS-STSM has been described. The simulation studies of the DPC strategy with intelligent STSM algorithms have been performed, and the results of these studies are presented and discussed.