Robust Tracking Control for DFIG in Wind Power Generation Systems Based Artificial Fuzzy Logic Technique
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Date
2019-02-24
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
University of Eloued
Abstract
This paper deals with the Artificial Fuzzy Logic
(AFL) power control strategy is introduced. This later is used
to control the power flowing between the stator of the DFIG
and the power network. The suggested AFL controller was
tested and compared with one other suggested technique,
Proportional-Integral (PI) controller. The simulation was
carried out by means of computational simulations in
Matlab/Simulink Software. The obtained results show that the
suggested controller exhibits better behaviour in terms of
settling time, overshoot, robustness with respect to machine
parameters variation, and good tracking references
Description
Intervention
Keywords
Doubly Fed Induction Machine, Wind turbine, Vector Control, Artificial Fuzzy Logic, Proportional- Integral
Citation
Z. ZEGHDI. L. BARAZANE. H.A. MESAI. A. LARABI. Robust Tracking Control for DFIG in Wind Power Generation Systems Based Artificial Fuzzy Logic Technique. International Symposium on Technology & Sustainable Industry Development, ISTSID’2019. Faculty Of Technology. University Of Eloued. [Visited in ../../….]. Available from [copy the link here].