Wind turbine control using T-S systems with nonlinear consequent parts

In this paper, a novel T-S model with nonlinear consequent parts is introduced for the variable speed, variable pitch wind turbine. Because there is an inherent uncertainty in wind speed measurement, a fuzzy observer is proposed to estimate the effective wind speed, acting on the turbine's blad...

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Veröffentlicht in:	Energy (Oxford) 2019-04, Vol.172, p.922-931
Hauptverfasser:	Moodi, Hoda, Bustan, Danyal
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Blade and tower dynamics Blade pitch angle control Computer simulation Control systems design Controllers Electric power generation Energy conservation Fuzzy control H-infinity control Loads (forces) Neural networks Nonlinear systems Rotor dynamics Rotor speed control Takagi-sugeno model Turbines Wind measurement Wind power Wind profiles Wind speed Wind speed observer Wind turbine Wind turbines
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