TY - JOUR
T1 - Adaptive control of a variable-speed variable-pitch wind turbine using radial-basis function neural network
AU - Jafarnejadsani, Hamidreza
AU - Pieper, Jeff
AU - Ehlers, Julian
PY - 2013
Y1 - 2013
N2 - In order to be economically competitive, various control systems are used in large scale wind turbines. These systems enable the wind turbine to work efficiently and produce the maximum power output at varying wind speed. In this paper, an adaptive control based on radial-basis-function neural network (NN) is proposed for different operation modes of variable-speed variable-pitch wind turbines including torque control at speeds lower than rated wind speeds, pitch control at higher wind speeds and smooth transition between these two modes The adaptive NN control approximates the nonlinear dynamics of the wind turbine based on input/output measurements and ensures smooth tracking of the optimal tip-speed-ratio at different wind speeds. The robust NN weight updating rules are obtained using Lyapunov stability analysis. The proposed control algorithm is first tested with a simplified mathematical model of a wind turbine, and then the validity of results is verified by simulation studies on a 5 MW wind turbine simulator.
AB - In order to be economically competitive, various control systems are used in large scale wind turbines. These systems enable the wind turbine to work efficiently and produce the maximum power output at varying wind speed. In this paper, an adaptive control based on radial-basis-function neural network (NN) is proposed for different operation modes of variable-speed variable-pitch wind turbines including torque control at speeds lower than rated wind speeds, pitch control at higher wind speeds and smooth transition between these two modes The adaptive NN control approximates the nonlinear dynamics of the wind turbine based on input/output measurements and ensures smooth tracking of the optimal tip-speed-ratio at different wind speeds. The robust NN weight updating rules are obtained using Lyapunov stability analysis. The proposed control algorithm is first tested with a simplified mathematical model of a wind turbine, and then the validity of results is verified by simulation studies on a 5 MW wind turbine simulator.
KW - Adaptive control
KW - generator torque control
KW - pitch control
KW - radial-basis function (RBF) neural network (NN)
KW - transition mode of operation
KW - variable-speed variable-pitchwind turbine
KW - varying wind speed
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U2 - 10.1109/TCST.2012.2237518
DO - 10.1109/TCST.2012.2237518
M3 - Article
AN - SCOPUS:84886598301
SN - 1063-6536
VL - 21
SP - 2264
EP - 2272
JO - IEEE Transactions on Control Systems Technology
JF - IEEE Transactions on Control Systems Technology
IS - 6
M1 - 6418007
ER -