DocumentCode :
2007524
Title :
Inverter Control Research Based on Immune Algorithms
Author :
Xiangzheng, Xu ; Baichao, Chen ; Fangcheng, Gan
fYear :
2007
fDate :
May 30 2007-June 1 2007
Firstpage :
2031
Lastpage :
2034
Abstract :
In this paper a new control law of inverters based on immune algorithms is presented. In the control law multi-objective function is created, which enables a voltage-source type inverter to produce a near standard sine wave with a minimum switching loss. Because the control law is based on float-coded immune algorithms (IA), the method 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 has proven that the immune algorithms are effective to the inverter control.
Keywords :
genetic algorithms; invertors; float-coded immune algorithm; genetic algorithm; multiobjective optimisation; sine wave; voltage-source type inverter control law; Arm; Automatic control; Bridge circuits; Circuit simulation; Power electronics; Pulse width modulation inverters; Shape; Switches; Switching loss; Voltage control; immune algorithm; inverter; multiple objective optimizations; switching loss;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Automation, 2007. ICCA 2007. IEEE International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4244-0818-4
Electronic_ISBN :
978-1-4244-0818-4
Type :
conf
DOI :
10.1109/ICCA.2007.4376717
Filename :
4376717
Link To Document :
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