【作者】 赵文青；

【导师】 李天博；

【作者基本信息】 江苏大学 ， 农业电气化与自动化， 2009， 硕士

【摘要】 随着生物技术的发展,微生物发酵工程在国民经济和社会生活中的地位越来越重要。为提高发酵过程的产品得率和产品质量,获得更好的经济效益,需要对发酵过程进行优化控制。但是由于发酵过程复杂的生化特性,发酵过程的许多重要特征参数不能实现实时测量,这使得先进的控制策略和算法难以在发酵工业现场获得应用。本文以红霉素发酵过程为研究对象,采用最小二乘支持向量机回归算法建立软测量模型,对发酵过程中的三个关键变量进行拟合和预估,为发酵过程优化控制提供了前提条件。具体研究如下:1.在大量阅读文献和分析红霉素发酵机理的基础上,建立了红霉素发酵过程菌丝浓度、总糖浓度和化学效价三个关键变量的最小二乘支持向量机软测量模型,并与标准支持向量机软测量模型进行了对比研究。2.分析了模型参数对模型精度的影响,研究了网格搜索和交叉验证相结合的最小二乘支持向量机软测量模型的参数优化方法。3.针对发酵过程辅助变量测量与优化控制的需要,设计了温度、pH值、溶氧等主要参量的数据采集系统,并设计了红霉素发酵过程控制系统的结构。更多还原

【Abstract】 With the development of biotechnology,microbial fermentation engineering is playing more and more important role in the national economy and social life.For the purpose of improving product output,quality and cost reduction,it is a necessity to optimize the fermentation process control.However,due to the complexity of the biochemical process,many important parameters can not be measured in real-time. Therefore,advanced control algorithm and strategy can’t be applied efficiently in the fermentation industry.With the fermenting process of erythromycin as the object,this research adopted regress algorithm of Least Squares Support Vector Machine (LS-SVM) to set up the soft sensor models to predict three important parameters in the fermenting process.The detailed work is as follows.Firstly,on the basis of reading literatures and studying the fermentation mechanism of erythromycin,the soft sensor models of LS-SVM are established respectively to predict the parameters in the erythromycin fermenting process,such as mycelium concentration,sugar concentration and production concentration,these models are compared and studied with soft sensor models of Support Vector Machine(SVM).Secondly,analyze the impact of the model parameters to the model accuracy, research the method of grid search with cross-validation and to determine the LS-SVM model parameters.Finally,in order to meet the requirement of variable measurement and optimal control in the fermenting process,design the data acquisition system to collect data of key parameters such as temperature,pH value,dissolved oxygen,and design the erythromycin fermentation process control system structure.更多还原