@ARTICLE{Horch_Mohamed_A_2023,
 author={Horch, Mohamed and Chemidi, Abdelkarim and Baghli, Lotfi and Kadi, Sara},
 volume={vol. 72},
 number={No 1},
 journal={Archives of Electrical Engineering},
 pages={273-291},
 howpublished={online},
 year={2023},
 publisher={Polish Academy of Sciences},
 abstract={The paper proposes a newrobust fuzzy gain adaptation of the sliding mode (SMC) power control strategy for the wind energy conversion system (WECS), based on a doubly fed induction generator (DFIG), to maximize the power extracted from the wind turbine (WT). The sliding mode controller can deal with any wind speed, ingrained nonlinearities in the system, external disturbances and model uncertainties, yet the chattering phenomenon that characterizes classical SMC can be destructive. This problem is suitably lessened by adopting adaptive fuzzy-SMC. For this proposed approach, the adaptive switching gains are adjusted by a supervisory fuzzy logic system, so the chattering impact is avoided. Moreover, the vector control of the DFIG as well as the presented one have been used to achieve the control of reactive and active power of the WECS to make the wind turbine adaptable to diverse constraints. Several numerical simulations are performed to assess the performance of the proposed control scheme. The results show robustness against parameter variations, excellent response characteristics with a reduced chattering phenomenon as compared with classical SMC.},
 type={Article},
 title={A new fuzzy design for switching gain adaptation of sliding mode controller for a wind energy conversion system using a doubly fed induction generator},
 URL={http://www.czasopisma.pan.pl/Content/126779/PDF/art16_int.pdf},
 doi={10.24425/aee.2023.143702},
 keywords={chattering phenomenon, doubly fed induction generator, fuzzy logic gain adaptation, sliding mode control, vector control, wind energy conversion systems},
}