Open AccessFuzzy Logic Control Contribution to the Rotor Speed Control of the Doubly Fed Induction Generator
Author(s) -
Sadoune Zouhair*,
El Kachani Abderrahmane,
E. Chakir
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.b6846.029420
Subject(s) - control theory (sociology) , fuzzy logic , electronic speed control , controller (irrigation) , rotor (electric) , pid controller , induction generator , computer science , fuzzy control system , matlab , generator (circuit theory) , control engineering , wind power , control (management) , engineering , artificial intelligence , physics , temperature control , power (physics) , mechanical engineering , agronomy , electrical engineering , quantum mechanics , biology , operating system
This paper presents the control of the wind energy system (WES), based on the doubly fed induction machine in generating mode (DFIG) using Artificial Intelligence (AI) technique based on fuzzy logic control. The performances of the conventional Integral Proportional (PI) and Fuzzy-PI controllers are compared with respect to the speed variation of the generator. The objective of the control strategy based on Fuzzy-PI controller is to ensure perfect tracking of the rotor speed and control the current regulation loops. The performances of the fuzzy-PI controller are studied via simulation on the Matlab/Simulink. We obtained perfect results that show the value of using a fuzzy PI controller