Fuzzy Knowledge Adaptation Mechanism for PID Controllers Implemented in PLC S7-300/400

被引：0

作者：

Kocian, Jiri ^{[1
]}

Ozana, Stepan ^{[1
]}

Koziorek, Jiri ^{[1
]}

机构：

[1] Tech Univ Ostrava, Dept Measurement & Control, Ostrava 70833, Czech Republic

来源：

FRONTIERS IN COMPUTER EDUCATION | 2012年 / 133卷

关键词：

Knowledge Adaptation; Controller; Fuzzy System; PLC; Performance Monitoring;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The paper deals with fuzzy approach applied for adaptation of parameters of classic PID controllers. It introduces implementation on programmable logic controllers S7 300/400. It also shows the concept of supervisor - an expert system that handles the above mentioned adaptation. Control performance monitoring, setting the model of the regulated system, its verification, the process of identification and subsequent adaptation of PID controller parameters are discussed in conclusion.

引用

页码：481 / 489

页数：9