【作者】 陈亚华；

【导师】 王树青；

【作者基本信息】 浙江大学 ， 控制理论与控制工程， 2004， 硕士

【摘要】 本篇论文研究了“发酵过程优化操作控制系统软件”的设计和实现。针对抗生素发酵过程，软件主要实现对参数的多种方式显示、参数的软测量和发酵过程性能监控的功能，其最终目的是对发酵过程进行优化操作与控制。论文主要研究内容如下： 1．分析了抗生素发酵过程中参数的类型，如按照性质可以分为：物理参数，化学参数，生物参数等，按照测量方法可以分为：在线测量参数，离线测量参数和软测量参数。从方便并且有利于操作的角度出发，讨论了对参数进行显示的多种方法。 2．分析了抗生素发酵过程中具有重要意义的软测量参数，研究了这些参数的机理和软测量模型，并在“发酵过程优化操作控制系统软件”中进行了应用。 3．将多元统计分析方法应用于发酵过程性能监控。间歇过程的数据可以用三维数组来表示，抗生素发酵过程是一个间歇过程。因此，研究了处理三维数组的几种方法：MPCA、PARAFAC和Tucker3的原理，分析比较了每种方法各自的特点，讨论了运用这些方法实现间歇过程在线监控的机理，并将这些方法用于链霉素发酵过程进行在线监控。比较分析的结果表明，对抗生素发酵过程，适合的在线监控方法是使用MPCA或PARAFAC方法，采用对未知数据填充的方式进行在线监控。最后，讨论了将MPCA运用于软件中的方法。 4．将所开发的软件在抗生素(头孢菌素—C)生产过程中进行应用，展示并讨论了应用结果。更多还原

【Abstract】 The design and application of "The Software of Optimal Operation and Control System in Fermentation Process " are studied in this dissertation. For antibiotic fermentation process, some functions such as multifold display of process parameter, soft-sensing of process parameter and monitoring performance of fermentation process, are performed in this software. The aim of the software is to optimize and control the operation of fermentation process. The dissertation focuses on:1. The kinds of parameters measured in fermentation process are analyzed. In order to operate easily and expediently, multifold display of process parameters are studied.2. Some soft-sensing parameters, which are important and meaningful, are presented. The principle and soft-sensing model of these parameters are studied and applied in the software.3. The multivariate statistical process control is used to monitoring the performance of fermentation process. Batch process data can be arranged in a three-way matrix(batch X variable X time), and the process of antibiotic fermentation is a typical batch process. Hence, this dissertation provides a critical discussion of various aspects of the treatment of these multi-way data. Three methods, MPCA, PARAFAC and Tucker3, are proposed for decomposing three-way data matrices. The theories of these methods are discussed, and the characteristics of these methods are ?compared. The role of on-line monitoring the batch process by using these methods is considered, and an application of streptomycin fermentation process is given. It can be seen from the results that the favoring method of on-line monitoring antibiotic fermentation process is using MPCA or PARAFAC and filling the unknown future data. Finally, MPCA is introduced into the software and some outcomes are displayed.4. An application of the developed software is given in the cephalosporin-C fermentation process, and some results are displayed and discussed.更多还原