DocumentCode
2047736
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
fYear
2009
fDate
23-24 May 2009
Firstpage
1
Lastpage
5
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/IWISA.2009.5073239
Filename
5073239
Link To Document