The Predictive Control of Sintering Temperature in Rotary Kiln Based on Image Feedback and Soft Computing

Author

Zhang, Xiaogang ; Chen, Hua ; Zhang, Jing

Author_Institution

Hunan Univ., Changsha

Volume

3

fYear

2007

Firstpage

39

Lastpage

43

Abstract

The sintering temperature in rotary kiln is measured through image processing algorithm as feedback of its predictive control. The predictive model based on radial basis function (RBF) network is designed by the image and other process data optimized by genetic algorithm. The final results of application at an alumina sintering kiln show that this intelligent predictive control strategy can achieve higher stability in normal condition.

Keywords

genetic algorithms; image processing; kilns; neurocontrollers; predictive control; production engineering computing; radial basis function networks; sintering; stability; temperature control; alumina sintering kiln; genetic algorithm; image feedback; image processing algorithm; intelligent predictive control strategy; radial basis function network; rotary kiln; sintering temperature; soft computing; stability; Algorithm design and analysis; Design optimization; Feedback; Genetic algorithms; Image processing; Intelligent control; Kilns; Predictive control; Predictive models; Stability; control; genetic algorithm; image processing; neural network.; predictive control; process; rotary kiln;

fLanguage

English

Publisher

ieee

Conference_Titel

Natural Computation, 2007. ICNC 2007. Third International Conference on

Conference_Location

Haikou

Print_ISBN

978-0-7695-2875-5

Type

conf

DOI

10.1109/ICNC.2007.734

Filename

4344474