多粘菌素补料分批发酵过程pH值的优化控制  

Optimization Control of pH in Appending Stuff and Batch Fermentation Process of Mycetozoan-element

作　　者：肖应旺[1] 姚美银[1] 

机构地区：[1]华南师范大学计算机学院,广东佛山528225

出　　处：《控制工程》2009年第1期62-65,106,共5页Control Engineering of China

基　　金：科技部"863"基金资助项目(2003AA241160)

摘　　要：针对补料分批发酵过程pH值优化轨迹难以确定和控制的问题,为了获取pH值的优化轨迹并加以有效控制,利用神经网络非线性预测控制方法结合遗传算法寻优设计基于动态数据交换的VB,Excel和Matlab的发酵过程优化软件平台;通过该优化软件平台找到多粘菌素发酵过程pH值的优化轨迹;对它采用参数自调整模糊控制方法,使之按优化轨线变化。统计多粘菌素10批次优化控制发酵生产结果,发酵时间平均缩短5%,提高产量3%。To the problem that the optimization track of pH about appending stuff and batch fermentation process is not easily confirmed and controlled, the optimization track and control of pH is discussed. By using neural network nonlinear prediction control method and genetic optimization algorithm, the optimization software platform of fermentation process is designed based on VB, Excel and Matlab with dynamic data exchange. The optimization track of pH of mycetozoan-element fermentation process is found by the optimization soft- ware platform. The parameter self-adjusting fuzzy control method is utilized to make pH change along the optimization track. The statistical result of optimization control in 10 batches of mycetozoan-element fermentations show that the fermentation time is averagely shortened in 5 percent and the output is improved in 3 percent.

关 键 词：优化 神经网络 遗传算法 参数自调整模糊控制 PH值 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]