Control of continuous fed-batch fermentation process using neural network based model predictive controller

被引：0
|
作者：
A. Uma Maheshwar Kiran
Asim Kumar Jana
机构：
[1] McMaster University,Department of Chemical Engineering
[2] National Institute of Technology,Department of Biotechnology
来源：
Bioprocess and Biosystems Engineering | 2009年 / 32卷
关键词：
Fed-batch fermentation; Simulation; Neural network model predictive controller (NNMPC);
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Cell growth and metabolite production greatly depend on the feeding of the nutrients in fed-batch fermentations. A strategy for controlling the glucose feed rate in fed-batch baker’s yeast fermentation and a novel controller was studied. The difference between the specific carbon dioxide evolution rate and oxygen uptake rate (Qc − Qo) was used as controller variable. The controller evaluated was neural network based model predictive controller and optimizer. The performance of the controller was evaluated by the set point tracking. Results showed good performance of the controller.
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页码：801 / 808
页数：7
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