Title :
Boiler water-level fuzzy control system design and parameters optimization based on rough set theory
Author :
Lincang, Ju ; Jinlong, Wu ; Lei, Li
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;
Conference_Titel :
Sustainable Power Generation and Supply, 2009. SUPERGEN '09. International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4934-7
DOI :
10.1109/SUPERGEN.2009.5347951
