@proceedings {6686,
	title = {Fuzzy Control with Adaptive Gain of DFIG based WECS},
	journal = {4th International Conference on Artificial Intelligence in Renewable Energetic Systems IC-AIRES2020},
	year = {2020},
	abstract = {In this paper, a direct vector control using fuzzy logic controller with adaptive gain for a doubly fed induction generator (DFIG) based wind energy conversion system (WECS) is presented. The performance of fuzzy controllers is characterized by unsatisfactory performance: (wide overshoot, excessive oscillations and sensitivity to parametric variations). We propose a robust method, where the control gain will be continually adapted with the use of a set of fuzzy rules; we only consider the gain adaptation of the command. I mean the value of the gain will be determined by a rule base defined by the error and the variation of the error. Finally, the control of the active and reactive powers using a fuzzy logic controller with adaptive gain is simulated using software Matlab/Simulink, studies on a 1.5 MW DFIG wind generation system compared with the conventional fuzzy logic controller. Performance and robustness results obtained are presented and analyzed. KEY WORDS Wind energy conversion system ; Vector control ; Fuzzy logic controller ; Adaptive fuzzy logic controller.},
	url = {https://www.researchgate.net/publication/353742338_Fuzzy_Control_with_Adaptive_Gain_of_DFIG_based_WECS},
	author = {Choug, N and Said Benaggoune and Sebti, Belkacem}
}
