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Journal Articles Archives of Electrical Engineering Year : 2023

A new fuzzy design for switching gain adaptation of sliding mode controller for a wind energy conversion system using a doubly fed induction generator

Abstract

The paper proposes a new robust 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
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Dates and versions

hal-04060581 , version 1 (06-04-2023)

Licence

Attribution - NonCommercial - NoDerivatives

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Mohamed Horch, Abdelkari Chemi, Lotfi Baghli, Sara Kadi. A new fuzzy design for switching gain adaptation of sliding mode controller for a wind energy conversion system using a doubly fed induction generator. Archives of Electrical Engineering, 2023, 72 (1), pp.273‑291. ⟨10.24425/aee.2023.143702⟩. ⟨hal-04060581⟩
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