Online identification of adsorption isotherms in SMB processes via efficient moving horizon state and parameter estimation
Online identification of adsorption isotherms in SMB processes via efficient moving horizon state and parameter estimation
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DOI：
10.1016/j.compchemeng.2010.07.005
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发表时间：
2010-12
期刊：
影响因子：
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通讯作者：
A. Küpper;Leonard Wirsching;M. Diehl;J. Schlöder;H. Bock;S. Engell
中科院分区：
文献类型：
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作者：
A. Küpper;Leonard Wirsching;M. Diehl;J. Schlöder;H. Bock;S. Engell
本文提出了一种在运行过程中在线识别模拟移动床过程吸附等温线的概念。通过灵敏度分析来分析模型参数对测量的影响，该分析能够识别可以同时估计的参数集。通过移动水平状态和参数估计方案实时估计参数。提出了具有 Langmuir 型非线性等温线的分离问题的经过验证的模型的数值模拟。此外，结果表明，通过修改吸附等温线的亨利系数，可以在很大程度上补偿空隙率中的结构设备/模型失配，使得估计模型可以用于在线优化控制。
In this paper, a concept to identify the adsorption isotherm of Simulated Moving Bed processes online during the operation is proposed. The influence of model parameters on the measurements is analyzed by a sensitivity analysis which enables to identify the set of parameters that can be estimated simultaneously. The parameters are estimated in real-time by a moving horizon state and parameter estimation scheme. Numerical simulations of validated models for separation problems with nonlinear isotherms of Langmuir type are presented. Furthermore, it is it shown that a structural plant/model mismatch in the void fraction can be compensated to a large extent by modifying the Henry coefficients of the adsorption isotherm such that the estimated model can be used in the context of online optimizing control.