DocumentCode
3021427
Title
RBF Neural Network Sliding Mode Control for Variable-Speed Adjustable-Pitch System of Wind Turbine
Author
Bin Jiao ; Wang, Lijun
Author_Institution
Electr. Sch., Shanghai Dianji Univ., Shanghai, China
fYear
2010
fDate
25-27 June 2010
Firstpage
3998
Lastpage
4002
Abstract
A RBF neural network sliding mode variable structure control is proposed for a variable-speed adjustable-pitch system of wind turbine. Simulation results show that the model is available and the controller can provide good robustness and dynamic performance in the presence of disturbance.
Keywords
power system control; radial basis function networks; variable structure systems; velocity control; wind turbines; RBF neural network; radial basis function network; sliding mode control; variable-speed adjustable-pitch system; wind turbine; Artificial neural networks; Blades; Robustness; Sliding mode control; Wind power generation; Wind speed; Wind turbines; RBF neural network; siding mode control; variable-speed adjustable-pitch; wind turbine;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Control Engineering (ICECE), 2010 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-6880-5
Type
conf
DOI
10.1109/iCECE.2010.974
Filename
5631974
Link To Document