CONTROL OF A BIOREACTOR USING A NEURAL NETWORK

被引：27

作者：

CHTOUROU, M ^{[1
]}

NAJIM, K ^{[1
]}

ROUX, G ^{[1
]}

DAHHOU, B ^{[1
]}

机构：

[1] LAAS,CNRS,F-31077 TOULOUSE,FRANCE

来源：

BIOPROCESS ENGINEERING | 1993年 / 8卷 / 5-6期

关键词：

D O I：

10.1007/BF00369837

中图分类号：

Q81 [生物工程学（生物技术）]; Q93 [微生物学];

学科分类号：

071005 ; 0836 ; 090102 ; 100705 ;

摘要：

This paper describes an experimental investigation concerning the use of neural networks to achieve the non-linear control of a continuous stirred tank fermenter. The influent dilution rate and the substrate concentration have been selected as control variables. The backpropagation learning algorithm has been used for both off-line and on-line identification of the inverse model which provides the control action. Experimental results show the performance and the implementation simplicity of this control approach.

引用

页码：251 / 254

页数：4

共 6 条

[1]

BASTIN G, 1990, ONLINE ESTIMATION CO

[2]

BREUSEGEM VV, 1991, CAN J CHEM ENG, V69, P481

[3]

Cybenko G., 1989, Mathematics of Control, Signals, and Systems, V2, P303, DOI 10.1007/BF02551274

[4] NEURAL NET BASED MODEL PREDICTIVE CONTROL [J].