Title :
Wind Turbine Control Strategy at Lower Wind Velocity Based on Neural Network PID Control
Author :
Yao, Xingjia ; Su, Xianbin ; Tian, Lei
Author_Institution :
Wind Energy Inst., Shenyang Univ. of Technol., Shenyang
Abstract :
For the variable speed operation of large scale wind turbine, the vibrations become key problem that can not be ignored. In this paper, the active vibration control based on neural network PID control strategy was researched. Firstly, PID control algorithm was analyzed. Then, the PID control based on neural network was described especially BP network and its algorithm. In the end, this control method was verified using simulation and prototype test.
Keywords :
backpropagation; neurocontrollers; power system control; three-term control; velocity control; vibration control; wind turbines; BP network; active vibration control; lower wind velocity; neural network PID control; variable speed operation; wind turbine control; Algorithm design and analysis; Large-scale systems; Neural networks; Testing; Three-term control; Velocity control; Vibration control; Virtual prototyping; Wind speed; Wind turbines;
Conference_Titel :
Intelligent Systems and Applications, 2009. ISA 2009. International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-3893-8
Electronic_ISBN :
978-1-4244-3894-5
DOI :
10.1109/IWISA.2009.5073239
