DocumentCode
1724552
Title
Immune Algorithms Based Approach for Inverter Control
Author
Min, Zhao ; Xiangzheng, Xu
Author_Institution
East China Jiao Tong Univ., Nanchang
fYear
2007
Abstract
In this paper a new control law of inverters based on immune algorithms (IA) is presented. Because the control law is based on float-coded immune algorithms, it overcomes the disadvantages of binary-coded genetic algorithm (GA), effectively adopts float-coded manner to make the work simple and quick and improves the speed and precision of the algorithm. Through computer simulation the result shows that the immune algorithms are effective to the inverter control.
Keywords
genetic algorithms; invertors; binary-coded genetic algorithm; immune algorithms; inverter control; Arm; Bridge circuits; Circuit simulation; Instruments; Power electronics; Pulse width modulation inverters; Shape; Switches; Switching circuits; Voltage control; immune algorithm; inverter; multiple objective optimizations; optimization control;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronic Measurement and Instruments, 2007. ICEMI '07. 8th International Conference on
Conference_Location
Xi´an
Print_ISBN
978-1-4244-1136-8
Electronic_ISBN
978-1-4244-1136-8
Type
conf
DOI
10.1109/ICEMI.2007.4350715
Filename
4350715
Link To Document