Neural Network IMC-PID Control of CPE Polymerization Temperature Based on DDE

Author

Qi, Shu-fen ; Zhou, Yilin ; Jiang, Haibo

Author_Institution

Coll. of Autom. & Electron. Eng., Qingdao Univ. of Sci. & Technol., Qingdao

fYear

2008

fDate

Aug. 29 2008-Sept. 2 2008

Firstpage

79

Lastpage

82

Abstract

The production process of chlorinated polyethylene (CPE) is mainly a chemical polymerization. The CPE polymerization temperature has characteristics of time varying, nonlinear and large delay. In order to realize a steady and accurate automatic control system, the neural network IMCPID (NNIMCPID) control is advanced in the article. And base on the DDE technology, the control system can achieve the realtime monitoring and advanced controlling on CPE production process.

Keywords

chemical technology; delays; neurocontrollers; nonlinear control systems; polymerisation; process control; three-term control; time-varying systems; PID control; chemical polymerization; chlorinated polyethylene; large delay system; neural network; nonlinear system; production process control; time-varying system; Automatic control; Chemical processes; Chemical products; Control systems; Delay effects; Neural networks; Polyethylene; Polymers; Production; Temperature control; CPE; DDE; IMCPID control; Neural network;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Information Technology, 2008. ICCSIT '08. International Conference on

Conference_Location

Singapore

Print_ISBN

978-0-7695-3308-7

Type

conf

DOI

10.1109/ICCSIT.2008.153

Filename

4624836