DocumentCode :
1753036
Title :
Hybrid modeling and simulation of wet flue gas desulphurization process
Author :
Shi, Yuntao ; Xiang, Lizhi ; Zhang, Qiming ; Gao, Dongjie
Author_Institution :
Inst. of Autom., Chinese Acad. of Sci., Beijing
Volume :
1
fYear :
0
fDate :
0-0 0
Firstpage :
4649
Lastpage :
4653
Abstract :
During the development of simulation model of wet flue gas desulphurization (WFGD) in power plant the ordinary differential equations model is developed for the part about which the knowledge is completed. On the other hand based on qualitative knowledge and few data samples a fuzzy T-S model is developed for the part about which the complete knowledge is not obtained. The way to construct the fuzzy T-S simulation model based on the qualitative knowledge and few sample data of the complex system is also discussed. A hybrid real-time simulation model of WFGD is obtained which include quantitive model based on first-law of system and qualitative model. The simulation result indicate the way of hybrid modeling and simulation is effective for modeling and simulation of complex system
Keywords :
differential equations; flue gas desulphurisation; fuzzy control; modelling; power plants; process control; simulation; complex system; fuzzy T-S simulation model; hybrid real-time simulation model; ordinary differential equations model; power plant; wet flue gas desulphurization process; Automation; Differential equations; Electronic mail; Flue gases; Fuzzy systems; Intelligent control; Power generation; Power system modeling; Real time systems; fuzzy T-S model; hybrid modeling; qualitative simulation; wet flue gas desulphurization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
Type :
conf
DOI :
10.1109/WCICA.2006.1713263
Filename :
1713263
Link To Document :
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