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青霉素发酵过程的模型仿真与补料优化
引用本文:贺晓冉,陈宸,金光石,熊智华. 青霉素发酵过程的模型仿真与补料优化[J]. 化工学报, 2012, 63(9): 2831-2835. DOI: 10.3969/j.issn.0438-1157.2012.09.025
作者姓名:贺晓冉  陈宸  金光石  熊智华
作者单位:1. 清华大学自动化系, 北京 100084;2. 金策工业综合大学自动化系, 朝鲜 平壤
基金项目:国家自然科学基金项目,轻工过程先进控制教育部重点实验室开放课题(江南大学)项目
摘    要:补料分批式青霉素发酵的机理模型已得到深入研究,但是模型往往难以用于补料的优化和批次内的控制。为了对模型进行优化控制,针对Birol等提出的青霉素发酵非结构动力学模型,合理调整了温度和pH变化的影响,得到了青霉素发酵过程的简化机理模型。反应基质的补料是青霉素优化控制的关键,选择对补料速率进行优化来提高青霉素的产量。由于机理模型具有非线性和约束条件,采用序贯二次规划算法来进行求解,其中将补料轨线进行分段处理提高了优化效率。优化计算结果表明改进的补料过程可以提高青霉素的浓度和产量。

关 键 词:青霉素发酵  机理模型  仿真  补料优化  
收稿时间:2012-06-13
修稿时间:2012-06-22

Model simulation of fed-batch penicillin fermentation and optimization of substrate feedrate
HE Xiaoran , CHEN Chen , KIM Kwang Sok , XIONG Zhihua. Model simulation of fed-batch penicillin fermentation and optimization of substrate feedrate[J]. Journal of Chemical Industry and Engineering(China), 2012, 63(9): 2831-2835. DOI: 10.3969/j.issn.0438-1157.2012.09.025
Authors:HE Xiaoran    CHEN Chen    KIM Kwang Sok    XIONG Zhihua
Affiliation:1. Department of Automation, Tsinghua University, Beijing 100084, China;2. Department of Automation, Kim Chaek University of Technology, Pyongyang, DPR Korea
Abstract:The mechanical model of fed-batch penicillin fermentation has been well studied for the last decades,but most of them can hardly be implemented to control fermentation process.Due to this problem,this paper uses Birol’s unstructured model,adjusts temperature and pH dynamics of the fermentation and deduces a simplified penicillin unstructured model.To increase production of penicillin,substrate feedrate which is critical in fermentation process is optimized.Because of the nonlinearity and constraints of the mechanical model,sequential quadratic programming(SQP)algorithm is used to the whole process,in which the feedrate trajectory is divided equally into several intervals to enhance optimization efficiency.Optimization results show that the penicillin concentration and yield are increased compared to the normal input.
Keywords:penicillin fermentation  mechanical model  simulation  feedrate optimization
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