DocumentCode
2934833
Title
Optimization Output Voltage of SRG Wind Power Generation System
Author
Liu Xiang ; Yi LingZhi
Author_Institution
Coll. of Inf. Eng., Xiangtan Univ., Xiangtan, China
fYear
2011
fDate
25-28 March 2011
Firstpage
1
Lastpage
4
Abstract
SRG is a complex nonlinear dynamic motor. Conventional methods can´t build it model accurately; bring the controls a great deal of inconvenience. In this paper, 8/6 switched reluctance generator will be mentioned; Application of Fuzzy Logic Controller (FLC) is studied in this paper to control the DC-link voltage of Switched Reluctance Generator (SRG) wind power generation system. The design of fuzzy logic control is based on linguistic rules, which depends more on expert knowledge of the designer instead on the precise characteristics of the machine. Compared with the PI controller, the superiority of the fuzzy logic controller is confirmed, and verified by MATLAB/SIMULINK.
Keywords
fuzzy control; machine control; power generation control; reluctance generators; reluctance motors; voltage control; wind power plants; DC-link voltage control; FLC; SRG wind power generation system; complex nonlinear dynamic motor; fuzzy logic controller; output voltage optimization; switched reluctance generator; Fuzzy logic; Niobium; Reluctance generators; Switches; Voltage control; Wind speed;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Engineering Conference (APPEEC), 2011 Asia-Pacific
Conference_Location
Wuhan
ISSN
2157-4839
Print_ISBN
978-1-4244-6253-7
Type
conf
DOI
10.1109/APPEEC.2011.5748794
Filename
5748794
Link To Document