DocumentCode
2999881
Title
Research on Genetic Algorithm in Accelerator Power Supply
Author
Qian Xiang-ping ; Qiao Wei-ming ; Zhou Zhong-zu ; Lan, Jing ; Xi-meng Chen
Author_Institution
Sch. of Nucl. Sci. & Technol., Lanzhou Universiy, Lanzhou, China
fYear
2010
fDate
25-27 June 2010
Firstpage
4747
Lastpage
4750
Abstract
A state feedback matrix of accelerator power supply was acquired using linear quadratic optimal controller. The choosing method of the weighting matrix was studied. A method based on the genetic algorithm was proposed and simulations were employed. The fitness function was acquired considering the needs of the power properties. The results showed that the proposed choosing method of the weighting matrix was effective, and the performance of the power supply was improved dramatically.
Keywords
genetic algorithms; linear quadratic control; matrix algebra; power supplies to apparatus; state feedback; accelerator power supply; fitness function; genetic algorithm; linear quadratic optimal controller; state feedback matrix; weighting matrix; Gallium; Gallium nitride; Physics; Power supplies; Publishing; Pulse width modulation; Roads; accelerator power supply; genetic algorithm; linear quadratic optimal controller; weighting matrix;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Control Engineering (ICECE), 2010 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-6880-5
Type
conf
DOI
10.1109/iCECE.2010.1149
Filename
5630871
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