Software architecture for intelligent control of a cryogenic cooling plant

被引：0

作者：

Linkens, DA ^{[1
]}

Abbod, MF ^{[1
]}

Cade, N ^{[1
]}

机构：

[1] Univ Sheffield, Dept Automat Control & Syst Engn, Sheffield S1 3JD, S Yorkshire, England

来源：

EMERGING TECHNOLOGIES IN MEASUREMENT AND CONTROL | 1999年 / 390卷

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Intelligent system techniques have been rapidly assimilating into process control engineering, with many applications reported in the last decade. Intelligent control is bringing a new perspective as well as new challenges to process control. In this paper, a software architecture for a Blackboard for Integrated Intelligent Control Systems (BIICS) is described. The system is designed to simultaneously support multiple heterogeneous intelligent methodologies, such as neural networks, expert systems, fuzzy logic and genetic algorithms. It will be shown how such methodologies can be assimilated into the software architecture. The BIICS system (currently utilising the intelligent control techniques of neuro-fuzzy and genetic optimisation) has been applied for controlling a cryogenic plant used for superconductor testing at temperatures below 100 degrees K.

引用

页码：1 / 7

页数：7

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