DocumentCode :
3626832
Title :
New Improvements of Immune Inspired Optimizer SILO
Author :
Konrad Wojdan;Konrad Swirski;Michal Warchol;Tomasz Chomiak
Author_Institution :
Warsaw Univ. of Technol., Warsaw
Volume :
1
fYear :
2007
Firstpage :
49
Lastpage :
52
Abstract :
The article presents new improvements of an immune inspired optimization method, used to control a combustion process in a steam generating, coal fired, large scale boiler. Immune Inspired Optimizer SILO is implemented at each of three units of Ostroleka Power Plant (Poland) and at one unit in Newton Power Plant (USA). The results from Newton Power Plant are presented. They confirm that presented solution is effective and usable in practice and it can be treated as a good alternative to MFC controllers. The main goal of this solution is CO and NOx emission minimization.
Keywords :
"Boilers","Optimization methods","Combustion","Mathematical model","Power generation","Control systems","Process control","Signal processing","Immune system","Artificial intelligence"
Publisher :
ieee
Conference_Titel :
Tools with Artificial Intelligence, 2007. ICTAI 2007. 19th IEEE International Conference on
ISSN :
1082-3409
Print_ISBN :
0-7695-3015-X;978-0-7695-3015-4
Type :
conf
DOI :
10.1109/ICTAI.2007.42
Filename :
4410261
Link To Document :
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