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
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;
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2011 Asia-Pacific
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6253-7
DOI :
10.1109/APPEEC.2011.5748794
