DocumentCode :
1863664
Title :
Fuzzy Predictive Control for a Tubular Heat Exchanger System Based Multiple Models Strategy
Author :
Wei-min Qi ; Jie Xiao
Author_Institution :
Sch. of Phys. & Inf. Eng., Jianghan Univ., Wuhan, China
Volume :
1
fYear :
2013
fDate :
26-27 Aug. 2013
Firstpage :
220
Lastpage :
223
Abstract :
The paper deals with the problem of controlling the outlet temperature of a tubular heat exchanger system by means of flow pressure. The usual industrial system behavior must precisely be modeled and appropriate control action needs to be obtained Based on novel techniques. A new multiple models control strategy using the well-known linear generalized predictive control (LGPC) scheme has been proposed in this paper. Then the best model of the system is accurately identified by an intelligent decision mechanism (IDM) which is organized Based on both new recursive weight generator and fuzzy adaptive Kalman filter approaches. Simulations are all done and the results are also compared with those obtained using a nonlinear GPC (NLGPC) approach that is realized Based on the Wiener model of the system. The results can verify the validity of the proposed control scheme.
Keywords :
Wiener filters; adaptive Kalman filters; fuzzy control; heat exchangers; predictive control; temperature control; IDM; LGPC; Wiener model; flow pressure; fuzzy adaptive Kalman filter; fuzzy predictive control; intelligent decision mechanism; linear generalized predictive control; multiple models control; nonlinear GPC; outlet temperature; recursive weight generator; temperature control; tubular heat exchanger system; Adaptation models; Electron tubes; Fluids; Heating; Kalman filters; Predictive control; Predictive models; fuzzy; kalman filter approach; predictive control; tubular heat exchanger;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2013 5th International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-0-7695-5011-4
Type :
conf
DOI :
10.1109/IHMSC.2013.59
Filename :
6643871
Link To Document :
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