Parameter Identification Model with the Control Term in Batch Anaerobic Fermentation

被引：3

作者：

Li, Xiaohong ^{[1
]}

Zhang, Shuxi ^{[1
]}

Xu, Zhilong ^{[2
]}

Feng, Enmin ^{[3
]}

机构：

[1] Liaoning Univ Sci & Technol, Coll Sci, Anshan 114051, Liaoning, Peoples R China

[2] Dalian Univ Technol, Sch Environm & Biol Sci & Technol, Dalian 116024, Peoples R China

[3] Dalian Univ Technol, Math Acad Sci, Dalian 116024, Peoples R China

来源：

ADVANCED MATERIALS AND PROCESS TECHNOLOGY, PTS 1-3 | 2012年 / 217-219卷

关键词：

batch fermentation; parameter identification; Particle Swarm Optimization algorithm; knetics system; 1,3-PROPANEDIOL;

D O I：

10.4028/www.scientific.net/AMM.217-219.1535

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

In this paper, according to the characteristics, dynamical behavior and the experimental data of the batch anaerobic culture, a parameter identification model was improved to describe the dynamical system for microorganism in batch fermentation. And some relative characters were introduced. Finally, a PSO algorithm with the inertia weight was used to get the best optimal parameter of the identification model. The results show that the model reduces the errors between the experimental data and computational values, and they can simulate the process of batch fermentation better.

引用

页码：1535 / +

页数：2

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