DocumentCode :
501784
Title :
Research on the Intelligent Control of Sintering Process Based on the Integrated Automation of Cement Enterprise
Author :
Yu, Hongliang ; Wang, Xiaohong ; Yuan, Zhugang
Author_Institution :
Sch. of Control Sci. & Eng., Univ. of Jinan, Jinan, China
Volume :
2
fYear :
2009
fDate :
12-14 Aug. 2009
Firstpage :
149
Lastpage :
153
Abstract :
To improve the automation level of cement production, some intelligent control methods are introduced into the integrated automation system of cement enterprise. Based on the three-layer structure of intelligent control, the application of ART-2 Neural Network, fuzzy algorithm, predictive control in the kiln-working-condition identification and the process control of sintering systems is described in detail. The effectivity of the above methods is proved in the practical run of cement enterprise.
Keywords :
ART neural nets; cement industry; fuzzy control; fuzzy reasoning; kilns; neurocontrollers; predictive control; process control; sintering; ART-2 neural network; fuzzy algorithm; integrated cement enterprise automation system; intelligent sintering process control; kiln-working-condition identification; predictive control; three-layer structure; Automation; Fuzzy control; Fuzzy neural networks; Fuzzy systems; Intelligent control; Neural networks; Prediction algorithms; Predictive control; Process control; Production systems; Integrated automation of cement enterprise; intelligent control; kiln-working-condition identification; sinter process;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Hybrid Intelligent Systems, 2009. HIS '09. Ninth International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-0-7695-3745-0
Type :
conf
DOI :
10.1109/HIS.2009.142
Filename :
5254439
Link To Document :
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