DocumentCode
2598025
Title
Boiler water-level fuzzy control system design and parameters optimization based on rough set theory
Author
Lincang, Ju ; Jinlong, Wu ; Lei, Li
fYear
2009
fDate
6-7 April 2009
Firstpage
1
Lastpage
8
Abstract
Rough set theory is used to acquire the fuzzy rules from the history data of a boiler water-level control system and a water-level fuzzy control system for the boiler is designed according to it. Then this paper applied rough set theory to design a quantum factor and proportional factor self-tuning fuzzy controller. The simulation results show that the method presented is effective.
Keywords
boilers; data mining; expert systems; fuzzy control; level control; power engineering computing; power generation control; rough set theory; boiler water level fuzzy control system design; data mining; history data; parameters optimization; proportional factor self tuning fuzzy controller; quantum factor; rough set theory; Boilers; Control systems; Design optimization; Fuzzy control; Fuzzy set theory; Fuzzy systems; History; Proportional control; Quantum mechanics; Set theory; Data Mining; Fuzzy Control; Rough Set Theory; Water-level Control;
fLanguage
English
Publisher
ieee
Conference_Titel
Sustainable Power Generation and Supply, 2009. SUPERGEN '09. International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-4934-7
Type
conf
DOI
10.1109/SUPERGEN.2009.5347951
Filename
5347951
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