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
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;
Conference_Titel :
Electrical and Control Engineering (ICECE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6880-5
DOI :
10.1109/iCECE.2010.1149
