Title :
Application of Genetic Algorithm in Soft-sensing for Drying System of Al-product Auto-product-line
Author :
Zhigang, Zeng ; Guohua, Chen
Author_Institution :
South China Univ. of Technol., Guangzhou
fDate :
Aug. 29 2008-Sept. 2 2008
Abstract :
This paper constructs a soft-sensing model by genetic algorithm for Al-product auto-product-line. The paper deduces the optimum work point and input, and realizes static control and optimum of energy using inner variable and feed-back control. At last, the author illuminates that genetic algorithm has a great advantage comparing with the other traditional ways by application of genetic algorithm in the example.
Keywords :
drying; feedback; genetic algorithms; Al-product auto-product-line; drying system; feedback control; genetic algorithm; soft-sensing; Algorithm design and analysis; Cleaning; Control systems; Design optimization; Equations; Genetic algorithms; Humidity control; Power system modeling; Temperature control; Wind speed; drying system; genetic algorithm; optimum of energy; soft-sensing;
Conference_Titel :
Computer Science and Information Technology, 2008. ICCSIT '08. International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-0-7695-3308-7
DOI :
10.1109/ICCSIT.2008.90
