DocumentCode :
2517330
Title :
State Variables Estimation for a Counter-Flow Double-Pipe Heat Exchanger Using Multi-linear Model
Author :
Zapata, Betty López ; Escobar, R.F. ; Medina, Manuel Adam ; Zaragoza, Carlos M Astorga
Author_Institution :
CENIDET, Cuernavaca, Mexico
fYear :
2009
fDate :
22-25 Sept. 2009
Firstpage :
349
Lastpage :
354
Abstract :
This paper deals with the state variables (temperatures) estimation for a counter-flow double-pipe heat exchanger using multi-linear models using a Kalman filter (FK) for the state variables approaching and using Bayes probability for the change of the model. The reliability of the proposed method was demonstrated via numerical simulation and laboratory experiments with a bench-scale pilot plant.
Keywords :
Bayes methods; Kalman filters; heat exchangers; heat pipes; numerical analysis; probability; temperature measurement; Bayes probability; Kalman filter; bench-scale pilot plant; counter-flow double-pipe heat exchanger; multilinear model; numerical simulation; state variables estimation; temperature estimation; Automotive engineering; Chemical elements; Counting circuits; Fault diagnosis; Fluid dynamics; Mathematical model; Observers; Robots; State estimation; Temperature distribution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronics, Robotics and Automotive Mechanics Conference, 2009. CERMA '09.
Conference_Location :
Cuernavaca, Morelos
Print_ISBN :
978-0-7695-3799-3
Type :
conf
DOI :
10.1109/CERMA.2009.39
Filename :
5341963
Link To Document :
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