江苏大学学报（自然科学版）2012，Vol.33Issue(3)：300-304,5.DOI:10.3969/j.issn.1671-7775.2012.03.011
基于PSO-ANN逆的发酵过程软测量建模
Soft sensor modeling of fermentation process based on PSO-ANN inversion
摘要
Abstract
To solve the difficulty of measuring the key biological parameters on line by conventional instruments, a soft sensor modeling method was proposd based on PSO-ANN inversion to realize optimal control in biological fermentation. The mathematical model of assumed subsystem for penicillin fermentation was established to give the inverse model of fermentation. To solve the complex operation of inversion, the soft sensor method based on PSO-ANN inversion was proposed. The PSO-ANN inverse model was finally established to complete simulation and experiments. The results show that the prior knowledge and empirical data can be entirely used by the soft sensor modeling method to measure the key parameters. The proposed model shows high precision and good performance with training error of 0.037 2 and testing error of 0. 046 1.关键词
发酵/软测量/粒子群/逆系统/建模Key words
fermentation/ soft sensor/ PSO/ inverse system/ modeling分类
信息技术与安全科学引用本文复制引用
黄丽,孙玉坤,黄永红,嵇小辅,王博..基于PSO-ANN逆的发酵过程软测量建模[J].江苏大学学报（自然科学版）,2012,33(3):300-304,5.基金项目
江苏省农业科技支撑计划项目(BE2010354) （BE2010354）
江苏高校优势学科建设工程项目(苏政办发[2011]6号) （苏政办发[2011]6号）
江苏大学高级专业人才科研启动基金资助项目(10JDG086) （10JDG086）
