Authors
A Kalafatis, N Arifin, L Wang, WR Cluett
Publication date
1995/12/1
Journal
Chemical Engineering Science
Volume
50
Issue
23
Pages
3693-3701
Publisher
Pergamon
Description
This paper presents a new approach to the identification of pH processes based on the Wiener model structure (a dynamic linear element in series with a static nonlinearity). A frequency sampling filter model is used to represent the dynamic linear element and a simple least-squares algorithm is applied to simultaneously estimate the parameters of the linear subsystem and the inverse static nonlinearity. Experimental results obtained from a pilot-scale pH process are presented to illustrate the performance of this new scheme. A key benefit of using this approach is that an estimate of the pH titration curve can be obtained in significantly less time as compared to more traditional approaches.
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Scholar articles
A Kalafatis, N Arifin, L Wang, WR Cluett - Chemical Engineering Science, 1995