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基于pH控制的丙酮丁醇间歇发酵过程动力学模型
Kinetic Model for pH Control-based Acetone-butanol Batch Fermentation Process
【摘要】 基于微生物发酵动力学模型和丙酮丁醇发酵工艺的特点,由5组控制pH下的实验数据建立该发酵过程的动力学模型,采用改进的自适应遗传算法对模型的12个参数进行优化,并采用一组控制pH数据对模型进行了外推验证,结果表明,该模型能够较好地描述pH的丙酮丁醇间歇发酵过程。
【Abstract】 Basing on the kinetic model for microorganism fermentation,and the character of acetone-butanol fermentation process and the pH-controlled five-group experimental data,the dynamic model for acetone-butanol fermentation process was established,then the twelve model parameters were optimized with modified adaptive genetic algorithm(MAGA).Making use of another data group verify the model shows that this model can simulate the acetone-butanol fermentation well.
【关键词】 间歇发酵;
动力学模型;
MAGA;
参数优化;
【Key words】 batch fermentation; kinetic model; MAGA; parameter optimization;
【Key words】 batch fermentation; kinetic model; MAGA; parameter optimization;
- 【文献出处】 化工自动化及仪表 ,Control and Instruments in Chemical Industry , 编辑部邮箱 ,2011年07期
- 【分类号】TP18
- 【被引频次】7
- 【下载频次】238