固体发酵过程参数检测与优化控制  

Parameters Detection and Optimal Control in Solid Fermentation Process

作　　者：朱湘临[1] 朱忠平 刘叶飞[1] 常震红 

机构地区：[1]江苏大学电气信息工程学院,镇江212013 [2]镇江日泰生物工程设备有限公司,镇江212021

出　　处：《自动化与仪表》2010年第11期6-9,13,共5页Automation & Instrumentation

基　　金：国家863计划项目(2007AA091602)

摘　　要：针对固体发酵过程中主导参数难以在线实时测量和控制,运用软测量方法和智能控制技术,构建了一种多变量模糊神经控制系统及其解耦算法;综合应用传统的PID控制方法、模糊神经网络技术,并参考历史数据和专家经验取得优化控制。实验证明,该方法结构简单、具有较好的泛化性能,实时性和准确性可以满足生产要求。Due to it is hard to control and measure main parameter in solid state fermentation process ad hoc,we con-struct a multi-variable fuzzy neural control system and its decoupling algorithm by using soft measurement and intelli-gent control technology.This system comprehensive application traditional PID control and fuzzy neural network technol-ogy.It gets optimal control by referring to historical data and expertise experiments.Experiments show that this method is simple and has good generalization performance,real-time and accuracy that can meet production requirements.

关 键 词：固体发酵 软测量 优化控制 解耦控制 模糊神经网络 

分 类 号：TP273.4[自动化与计算机技术—检测技术与自动化装置]