期刊
AICHE JOURNAL
卷 59, 期 6, 页码 1981-1995出版社
WILEY
DOI: 10.1002/aic.13957
关键词
optimization; numerical solutions; chromatography
资金
- Knauer GmbH (Berlin, Germany)
- German Research Foundation
- German Academic Interchange Service (DAAD)
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. (c) 2012 American Institute of Chemical Engineers AIChE J, 59: 19811995, 2013
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据