改进的微生物连续发酵动力系统及参数辨识  

Improved Dynamic System of Microbial Continuous Fermentation and Its Parameter Identification

作　　者：王艳[1] 李晓红[1] 冯恩民[2] 修志龙[3] 王勇[4] 

机构地区：[1]辽宁科技大学理学院,辽宁鞍山114051 [2]大连理工大学应用数学系,辽宁大连116024 [3]大连理工大学环境生命学院,辽宁大连116024 [4]辽宁科技大学化工学院,辽宁鞍山114051

出　　处：《信阳师范学院学报（自然科学版）》2014年第1期12-14,共3页Journal of Xinyang Normal University(Natural Science Edition)

基　　金：国家自然科学基金项目(10871033);国家863计划项目(2007AA02Z208);辽宁省高等教育学会"十二五"项目(GHYB110086);辽宁科技大学专项基金项目

摘　　要：以微生物连续发酵生产1,3-丙二醇为背景,研究了非线性动力系统及其参数辨识问题.首先根据发酵过程的特征和动态行为,在底物甘油过量的条件下,考虑了细胞内甘油与1,3-丙二醇的浓度变化,改进了描述微生物连续发酵过程的非线性动力系统,分析并论述了该非线性动力系统的主要性质;其次以平均相对误差为性能指标,建立了参数辨识最优化模型,并用粒子群算法求解.计算结果表明,该模型适合描述主要产物1,3-丙二醇的动态行为,但用来描述副产物的浓度变化率不够精确.Based on the producing 1,3-propanediol from continuous fermentation of glycerol , a dynamic system model and its parameter identification were investigated .Firstly, under substrate-excess conditions , according to the dynamic behaviors and characteristics , the corresponding nonlinear dynamic system was improved by considering intra-cellular substances and 1,3-propanediol.Then the major properties of the system were discussed .Secondly, optimiza-tion model of parameter identification was proposed with average relative error as objective function , and it was solved by Particle Swarm Optimization algorithm .The results showed that the system fits for the dynamic behaviors of 1,3-propanediol but not for other by-products .

关 键 词：微生物发酵 非线性动力系统 参数辨识 

分 类 号：O221.2[理学—运筹学与控制论]