Development and Application of Intelligence Control Optimization Method for Alumina Batching Process

Author

Gui, Weihua ; Qiu, Zhifeng ; Yang, Chunhua ; Wang, Yaling ; Duan, Xiaogang ; Yang, Xukun

Author_Institution

Sch. of Inf. Sci. & Eng., Central South Univ., Changsha

Volume

1

fYear

0

fDate

0-0 0

Firstpage

4818

Lastpage

4822

Abstract

The batching process is pivotal in Alumina production. Forecasting the alumina raw meal quality accurately and optimizing ratio have great significance for improving alumina quality. This paper combined mathematical modeling, NN method, PCA, expert rule for the batching process estimation model. Ratio optimization decision model was established by using multi-level reasoning and implemented multi-object optimization decision of ratio. This control method has applied successfully in the alumina batching process. The produce data shows that the method is available and practical

Keywords

alumina; batch processing (industrial); chemical industry; compensation; intelligent control; neurocontrollers; optimisation; principal component analysis; PCA; alumina batching process; alumina raw meal quality; batching process estimation; expert rule; intelligent control optimization; mathematical modeling; multilevel reasoning; multiobject optimization; neural network method; ratio optimization decision model; residual compensation model; Automation; Information science; Intelligent control; Iron; Mathematical model; Mathematics; Neural networks; Optimization methods; Principal component analysis; Production; alumina batching process; intelligent modeling; mathematic model; multi-object reasoning optimization; residual compensation model;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1713299

Filename

1713299