Title :
Research on rotor excitation neural network PID control of variable speed constant frequency wind turbine
Author :
Yao, Xingjia ; Wen, Hexu ; Deng, Ying ; Zhang, Zhongcong
Author_Institution :
Wind Energy Institute of Shenyang University of Technology, Japan
Abstract :
The key of variable speed constant frequency wind turbine operating control is the rotor excitation control, This article state the double-fed generator stator magnetic field direction detection control principle, discussed the stator magnetic field localization and the rotor position definite method, The rotor excitation uses neural network PID control which realizes easily in DSP, and has developed the DSP rotor excitation control device, has conducted the double-fed generator rotor excitation neural network PID control experimental study. The test result indicated that, the double-fed generator uses the neural network PID control strategy The test result indicated that, the double-fed generator uses the neural network PID control strategy is effective, not only it can realize the active power and the reactive power independent control, but also has the good static adjustment characteristic and the dynamic characteristic.
Keywords :
Digital signal processing; Frequency; Magnetic fields; Magnetic variables control; Neural networks; Rotors; Stators; Testing; Three-term control; Wind turbines; Double-fed; Neural network PID; Variable speed constant frequency; Vector control; Wind turbine;
Conference_Titel :
Electrical Machines and Systems, 2007. ICEMS. International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-89-86510-07-2
Electronic_ISBN :
978-89-86510-07-2