Heat exchanger Kalman filtering with process dynamic acknowledgement

This paper deals with the application of adaptive fading Kalman filtering (AFKF) to the design of an observer used to predict the state of an counter-current heat exchanger. In order to implement the AFKF, an accurate mathematical model, based on the approximation of temperatures along the process b...

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Bibliographic Details
Published inComputers & chemical engineering Vol. 28; no. 8; pp. 1465 - 1473
Main Authors Bagui, F., Abdelghani-Idrissi, M.A., Chafouk, H.
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.07.2004
Subjects
Distributed parameter systems
Heat exchanger
Kalman observer
System dynamic
System dynamic
Kalman observer
Distributed parameter systems
Heat exchanger
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Summary:This paper deals with the application of adaptive fading Kalman filtering (AFKF) to the design of an observer used to predict the state of an counter-current heat exchanger. In order to implement the AFKF, an accurate mathematical model, based on the approximation of temperatures along the process by first order dynamic model, is considered. This method could be applied when the heat exchanger is solicited by the flow rate changes. Experimental validation of this method is illustrated by an example.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0098-1354
1873-4375
DOI:10.1016/j.compchemeng.2003.11.005