Title :
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
fDate :
Aug. 29 2008-Sept. 2 2008
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;
Conference_Titel :
Computer Science and Information Technology, 2008. ICCSIT '08. International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-0-7695-3308-7
DOI :
10.1109/ICCSIT.2008.153
