A New Strategy for Batch Reactor´s Temperature Control

Author

Zhao, Xiaodong ; Xu, Senlin ; Zhou, Hongbo

Author_Institution

Inst. of Inf. & Control, Hangzhou Dianzi Univ., Hangzhou, China

Volume

5

fYear

2009

fDate

March 31 2009-April 2 2009

Firstpage

56

Lastpage

61

Abstract

Model based batch reactor´s temperature control algorithms for special plants or systems have been used widely. Adaptive control is also used to handle the model changing problems. This paper presents a new model free adaptive control that is based on expert system, fuzzy control and neural networks. Its main structure is a model free neural networks and the initial values of the neural networks parameters are given by an expert system. The learning rate and other adaptive parameters are updated by the fuzzy control technology.

Keywords

adaptive control; batch processing (industrial); chemical industry; chemical reactors; expert systems; fuzzy control; learning (artificial intelligence); neurocontrollers; process control; temperature control; adaptive control; batch processing; batch reactors temperature control; chemical process industry; computer program; expert system; fuzzy control; learning rate; neural network; Adaptive control; Control systems; Expert systems; Fuzzy control; Inductors; Neural networks; Optimal control; Prediction algorithms; Temperature control; Three-term control; Expert System; Fuzzy System; Model Free Adaptive Control;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Information Engineering, 2009 WRI World Congress on

Conference_Location

Los Angeles, CA

Print_ISBN

978-0-7695-3507-4

Type

conf

DOI

10.1109/CSIE.2009.579

Filename

5170496