Title :
Pitch angle control of variable pitch wind turbines based on neural network PID
Author :
Yao, Xingjia ; Su, Xianbin ; Tian, Lei
Author_Institution :
Wind Energy Inst., Shenyang Univ. of Technol., Shenyang
Abstract :
According with control theory of variable-speed and constant-frequency (VSCF) pitch-controlled wind turbine, neural network algorithm is adopted to predict pitch angle at real-time working condition, and to obtain more accurate pitch angle reference value. It enhances control precision of the entire pitch-controlled system.
Keywords :
angular velocity control; frequency control; neurocontrollers; power generation control; three-term control; wind turbines; constant-frequency pitch-controlled wind turbine; neural network PID; pitch angle control; variable-speed pitch-controlled wind turbine; Blades; Control systems; Neural networks; Power generation; Three-term control; Wheels; Wind energy; Wind energy generation; Wind speed; Wind turbines; RBF; control; neural network; pitch angle;
Conference_Titel :
Industrial Electronics and Applications, 2009. ICIEA 2009. 4th IEEE Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4244-2799-4
Electronic_ISBN :
978-1-4244-2800-7
DOI :
10.1109/ICIEA.2009.5138799
