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 :
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