DocumentCode :
176550
Title :
LPV T-S fuzzy gain scheduling control of WTGS below rated wind speed
Author :
Yang Hu ; Jizhen Liu ; Zhongwei Lin
Author_Institution :
State Key Lab. for Alternate Electr. Power Syst. with Renewable Energy Sources, North China Electr. Power Univ., Beijing, China
fYear :
2014
fDate :
May 31 2014-June 2 2014
Firstpage :
3328
Lastpage :
3333
Abstract :
This paper studies the Linear Parameter Varying (LPV) Takagi-Sugeno (T-S) fuzzy gain scheduling control of Wind Turbine Generation System (WTGS) below rated wind speed. The T-S fuzzy linearization approach is used to deal with the Affine Nonlinear Parameter Varying (ANPV) model of WTGS and the LPV T-S fuzzy model with required accuracy is obtained. Considering the maximum utilization of wind energy and the alleviation of mechanical loads, the H problem based on the LPV T-S fuzzy system is formulated. Through introducing the parameter-dependent Piecewise Quadratic Lyapunov Functions (PQLFs), the output feedback H control synthesis procedure is proposed to treat the problem. The sufficient conditions are given in Linear Matrix Inequalities (LMIs) form. The simulation results show the effectiveness of the LPV T-S fuzzy gain scheduling control of WTGS.
Keywords :
H control; Lyapunov methods; control system synthesis; feedback; fuzzy control; linear matrix inequalities; linearisation techniques; machine control; turbogenerators; wind turbines; ANPV model; LMI; LPV T-S fuzzy gain scheduling control; WTGS; affine nonlinear parameter varying model; linear matrix inequalities; linear parameter varying Takagi-Sugeno fuzzy gain scheduling control; mechanical loads; output feedback H control synthesis procedure; parameter-dependent piecewise quadratic Lyapunov functions; sufficient conditions; wind energy utilization; wind turbine generation system; Process control; Rotors; Symmetric matrices; Torque; Wind power generation; Wind speed; Wind turbines; H control; LPV gain scheduling control; Output-feedback control; T-S fuzzy; Wind power generation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (2014 CCDC), The 26th Chinese
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-3707-3
Type :
conf
DOI :
10.1109/CCDC.2014.6852749
Filename :
6852749
Link To Document :
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