Open AccessA new sliding mode control strategy for variable‐speed wind turbine power maximization
Author(s) -
Tahir Khalfallah,
Belfedal Cheikh,
Allaoui Tayeb,
Denaï Mouloud,
Doumi M'hamed
Publication year - 2018
Publication title -
international transactions on electrical energy systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.428
H-Index - 42
ISSN - 2050-7038
DOI - 10.1002/etep.2513
Subject(s) - control theory (sociology) , wind power , sliding mode control , turbine , controller (irrigation) , variable speed wind turbine , sigmoid function , computer science , wind speed , fuzzy logic , engineering , control engineering , permanent magnet synchronous generator , control (management) , voltage , nonlinear system , artificial neural network , physics , electrical engineering , quantum mechanics , artificial intelligence , mechanical engineering , agronomy , machine learning , meteorology , biology
Summary The paper proposes a new sliding mode power control strategy for a wound‐field synchronous generator‐based variable speed wind energy conversion systems to maximize the power extracted from the wind turbine. The proposed controller can handle the inherent nonlinearities in wind energy conversion systems and the randomness of the wind speed as well as the uncertainties of the model and external disturbances. To reduce the chattering phenomenon that characterizes conventional sliding mode control, a sigmoid function with a variable boundary layer is proposed. The adaptive switching gains are adjusted on‐line by using a fuzzy logic‐based technique. Several simulation scenarios were performed to evaluate the performance of the proposed control scheme. The results demonstrate that this controller provides excellent response characteristics, is robust against parameter variations, and free from chattering phenomenon as compared with the conventional sliding mode control.