A genetic algorithm with decimal coding for the estimation of kinetic and energetic parameters

被引：67

作者：

Balland, L ^{[1
]}

Estel, L ^{[1
]}

Cosmao, JM ^{[1
]}

Mouhab, N ^{[1
]}

机构：

[1] INSA Rouen, LRCP, F-76131 Mt St Aignan, France

来源：

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS | 2000年 / 50卷 / 01期

关键词：

genetic algorithm; kinetic parameter estimation; saponification of ethyl acetate; calorimetric reactor;

D O I：

10.1016/S0169-7439(99)00057-X

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A hybrid estimation method is proposed to estimate simultaneously the kinetic and energetic parameters of chemical models. This method combines a genetic algorithm with a local convergence method, the former generating initialisation points for the latter. The method is applied to a real complex chemical system: the saponification of ethyl acetate at a concentration of 1 mol 1(-1). The reaction is carried out in a calorimetric reactor which determines experimental profiles of power delivered or absorbed by the reaction mass. A model, based on mass and energy balances in the reaction mass, including the kinetic and energetic parameters of the reaction, allows to calculate: the power profile. The comparison between the experimental and calculated profiles gives the criterion to minimise. The parameters of the model are successfully determined. The hybrid method determines more efficiently and more rapidly the solution of the problem than a set of several estimations with a local convergence method. (C) 2000 Elsevier Science B.V. All rights reserved.

引用

页码：121 / 135

页数：15

共 21 条

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