Generalized PID Algorithm for Batch Reactor's Temperature Control

PID algorithms for batch reactor's temperature control of special plants or systems have been used widely. Adaptive PID control is also used to handle the model changing problems. This paper presents a new adaptive control that is based on PID algorithm, expert system and neural networks. Its m...

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Bibliographic Details
Published in2009 WRI Global Congress on Intelligent Systems Vol. 1; pp. 426 - 430
Main Authors Xiaodong Zhao, Weihong Zheng
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2009
Subjects
Adaptive control
Control systems
Expert system
Expert systems
Fuzzy control
Generalized PID
Inductors
Neural networks
Optimal control
Prediction algorithms
Temperature control
Three-term control
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ISBN9780769535715
0769535712
ISSN2155-6083
DOI10.1109/GCIS.2009.441

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Summary:PID algorithms for batch reactor's temperature control of special plants or systems have been used widely. Adaptive PID control is also used to handle the model changing problems. This paper presents a new adaptive control that is based on PID algorithm, expert system and neural networks. Its main structure is a generalized PID (GPID) controller. Neural networks is applied to adjust the GPID parameters and the initial values of the neural networks parameters are given by an expert system.
ISBN:9780769535715
0769535712
ISSN:2155-6083
DOI:10.1109/GCIS.2009.441