Robust Tracking Control for DFIG in Wind Power Generation Systems Based Artificial Fuzzy Logic Technique
| dc.contributor.author | Z. ZEGHDI | |
| dc.contributor.author | L. BARAZANE | |
| dc.contributor.author | H.A. MESAI | |
| dc.contributor.author | A. LARABI | |
| dc.date.accessioned | 2024-06-09T13:38:31Z | |
| dc.date.available | 2024-06-09T13:38:31Z | |
| dc.date.issued | 2019-02-24 | |
| dc.description | Intervention | |
| dc.description.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 | |
| dc.identifier.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]. | |
| dc.identifier.uri | https://dspace.univ-eloued.dz/handle/123456789/33328 | |
| dc.language.iso | en | |
| dc.publisher | University of Eloued | |
| dc.subject | Doubly Fed Induction Machine | |
| dc.subject | Wind turbine | |
| dc.subject | Vector Control | |
| dc.subject | Artificial Fuzzy Logic | |
| dc.subject | Proportional- Integral | |
| dc.title | Robust Tracking Control for DFIG in Wind Power Generation Systems Based Artificial Fuzzy Logic Technique | |
| dc.type | Intervention |