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Experimental evaluation of an approach to online redesign of experiments for parameter determination

Barz, T, López Cárdenas, DC, Arellano-Garcia, H and Wozny, G (2013) Experimental evaluation of an approach to online redesign of experiments for parameter determination AIChE Journal, 59 (6). pp. 1830-2266.

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The online redesign of experiments for parameter determination of nonlinear dynamic systems has been studied recently by different research groups. In this article, this technique is assessed in a real case study for the first time. The presented algorithm adopts well-known concepts from model-based control. Compared to previous studies, special attention is given to the efficient treatment of the underlying nonlinear and possibly ill-conditioned parameter estimation and experiment design problems. These problems are solved with single shooting and gradient-based nonlinear programming (NLP) solvers. We use an initial value solver, which generates first- and second-order sensitivities to compute exact derivatives of the problem functions. As a special feature, we propose the integration of a local parameter identifiability analysis and a corresponding algorithm that generates well-conditioned problems. The practical applicability is demonstrated by experimental application to a chromatography column system where A, D, and E optimal experiments are performed.

Item Type: Article
Subjects : Chemical Engineering
Divisions : Faculty of Engineering and Physical Sciences > Chemical and Process Engineering
Authors :
Barz, T
López Cárdenas, DC
Arellano-Garcia, H
Wozny, G
Date : June 2013
DOI : 10.1002/aic.13957
Copyright Disclaimer : © 2012 American Institute of Chemical Engineers
Depositing User : Symplectic Elements
Date Deposited : 24 Aug 2016 14:30
Last Modified : 31 Oct 2017 18:36

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