Elaboration of a neural network system for semi-batch reactor temperature control: An experimental study

被引：15

作者：

Dirion, JL ^{[1
]}

Ettedgui, B ^{[1
]}

Cabassud, M ^{[1
]}

LeLann, MV ^{[1
]}

Casamatta, G ^{[1
]}

机构：

[1] ECOLE NATL SUPER INGN GENIE CHIM, LAB GENIE CHEM, URA CNRS 192, F-31078 TOULOUSE, FRANCE

来源：

CHEMICAL ENGINEERING AND PROCESSING-PROCESS INTENSIFICATION | 1996年 / 35卷 / 03期

关键词：

neural networks; semi-batch reactor temperature control;

D O I：

10.1016/0255-2701(95)04120-6

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

A neural controller is developed and used to regulate the temperature in a semi-batch pilot-plant reactor. The experimental unit employs a monofluid heating-cooling system to raise the reactor to the operating temperature, and then remove the heat generated by an exothermic reaction. A methodology for installation of the neural controller is presented. Preliminary experiments form the neural-network learning database. These involve regulation of the reactor by either an advanced control algorithm or by operator (manual control). The results suggest that such neural controllers can provide excellent setpoint-tracking and disturbance rejection.

引用

页码：225 / 234

页数：10

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