Pitch Angle Control for Variable Speed Wind Turbines
Publication: Research - peer-review › Article in proceeding
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Pitch Angle Control for Variable Speed Wind Turbines. / Chen, Zhe; Zhang, Jianzhong; Cheng, M; Fu, Xiaofan.
Proceedings of the Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies (DRPT 2008). IEEE, 2008.Publication: Research - peer-review › Article in proceeding
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TY - GEN
T1 - Pitch Angle Control for Variable Speed Wind Turbines
A1 - Chen,Zhe
A1 - Zhang,Jianzhong
A1 - Cheng,M
A1 - Fu,Xiaofan
AU - Chen,Zhe
AU - Zhang,Jianzhong
AU - Cheng,M
AU - Fu,Xiaofan
PB - IEEE
PY - 2008
Y1 - 2008
N2 - Pitch angle control is the most common means for adjusting the aerodynamic torque of the wind turbine when wind speed is above rated speed and various controlling variables may be chosen, such as wind speed, generator speed and generator power. As conventional pitch control usually use PI controller, the mathematical model of the system should be known well. A fuzzy logic pitch angle controller is developed in this paper, in which it does not need well known about the system and the mean wind speed is used to compensate the non-linear sensitivity. The fuzzy logic control strategy may have the potential when the system contains strong non-linearity, such as wind turbulence is strong, or the control objectives include fatigue loads. The design of the fuzzy logic controller and the comparisons with conversional pitch angle control strategies with various controlling variables are carried out. The simulation shows that the fuzzy logic controller can achieve better control performances than conventional pitch angle control strategies, namely lower fatigue loads, lower power peak and lower torque peak.
AB - Pitch angle control is the most common means for adjusting the aerodynamic torque of the wind turbine when wind speed is above rated speed and various controlling variables may be chosen, such as wind speed, generator speed and generator power. As conventional pitch control usually use PI controller, the mathematical model of the system should be known well. A fuzzy logic pitch angle controller is developed in this paper, in which it does not need well known about the system and the mean wind speed is used to compensate the non-linear sensitivity. The fuzzy logic control strategy may have the potential when the system contains strong non-linearity, such as wind turbulence is strong, or the control objectives include fatigue loads. The design of the fuzzy logic controller and the comparisons with conversional pitch angle control strategies with various controlling variables are carried out. The simulation shows that the fuzzy logic controller can achieve better control performances than conventional pitch angle control strategies, namely lower fatigue loads, lower power peak and lower torque peak.
KW - Blade aerodynamic
KW - Fatigue load
KW - Fuzzy logic control
KW - Pitch angle
KW - Wind turbine
SN - 978-7-900-714-13-8
BT - Proceedings of the Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies (DRPT 2008)
T2 - Proceedings of the Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies (DRPT 2008)
ER -