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
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;
Conference_Titel :
Electrical and Control Engineering (ICECE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6880-5
DOI :
10.1109/iCECE.2010.974
