The application of BP algorithm of NN for the temperature identification of shaft furnace

Author

Lou, Guohuan ; Wang, Xiaoyan ; Wang, Jianrnin ; Zhao, Wei

Author_Institution

Coll. of Comput. & Autom. Control, Hebei Polytech. Univ., Tangshan, China

Volume

1

fYear

2010

fDate

27-29 March 2010

Firstpage

179

Lastpage

182

Abstract

This The pellet sintering process is a physical chemistry process, which is pure time-delay and non-linear with more variables and discrete parameters. In order to solve this problem, a new BP algorithm of NN for the temperature identification of sintering shaft furnace is introduced in this paper. BP network is combined with PID control and simulation effects are given with MATLAB. The experiment results show this method can make the temperature of firebox conform the requirement of the control standard and can also improve the output and quality of the products.

Keywords

backpropagation; furnaces; neurocontrollers; physical chemistry; shafts; sintering; temperature; three-term control; BP algorithm; BP network; MATLAB; NN; PID control; control standard; discrete parameters; firebox; pellet sintering process; physical chemistry process; simulation effects; sintering shaft furnace; temperature identification; Automatic control; Educational institutions; Function approximation; Furnaces; Mathematical model; Mathematics; Neural networks; Shafts; Temperature control; Temperature distribution; BP algorithm; MATLAB; Neural Networks (NN); firebox;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Computer Control (ICACC), 2010 2nd International Conference on

Conference_Location

Shenyang

Print_ISBN

978-1-4244-5845-5

Type

conf

DOI

10.1109/ICACC.2010.5487043

Filename

5487043