Fuzzy Logic Control Contribution to the Rotor Speed Control of the Doubly Fed Induction Generator
Sadoune Zouhair1, El Kachani Abderrahmane2, Chakir El Mahjoub3
1Sadoune Zouhair*, Department of Physics, Ibn Tofail University, Kenitra, Morocco.
2El Kachani Abderrahmane, Department of Physics, Ibn Tofail University, Kenitra, Morocco.
2El Mahjoub Chakir, Department of Physics, Ibn Tofail University, Kenitra, Morocco.
Manuscript received on January 12, 2020. | Revised Manuscript received on January 22, 2020. | Manuscript published on February 10, 2020. | PP: 540-546 | Volume-9 Issue-4, February 2020. | Retrieval Number: B6846129219/2020©BEIESP | DOI: 10.35940/ijitee.B6846.029420
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: Fuzzy-PI Controllers, Wind Energy Turbine (WES), Doubly fed Induction Generator (DFIG).
Scope of the Article: Fuzzy logics