The research on the furnace roller speed self-tuning PID control system of normalizing furnace

Author

Tong Jihong ; Wang Jizhong

Author_Institution

Inst. of Inf. Technol., Beihua Univ., Jilin, China

fYear

2011

fDate

19-22 Aug. 2011

Firstpage

1861

Lastpage

1863

Abstract

For the computer control system of the normalizeing furnace for the medium steel plate, the paper mentions its subsystem, roll way control, and proposes a algorithm used on it. This algorithm is based on the self-adjusting artificial neural network to optimize the PID parameter. By adopting the algorithm, the roll way control system of normalizing furnace worked stably. In addition, it can significantly increase the performance of the products and production efficiency.

Keywords

adaptive control; control engineering computing; furnaces; neural nets; normalising; optimisation; plates (structures); rollers (machinery); self-adjusting systems; steel; three-term control; velocity control; PID parameter optimization; computer control system; furnace roller speed self-tuning PID control system; medium steel plate; normalizing furnace; roll way control system; self-adjusting artificial neural network; Algorithm design and analysis; Computers; Furnaces; Heating; Steel; PID; artificial neural network; roller; self-tuning;

fLanguage

English

Publisher

ieee

Conference_Titel

Mechatronic Science, Electric Engineering and Computer (MEC), 2011 International Conference on

Conference_Location

Jilin

Print_ISBN

978-1-61284-719-1

Type

conf

DOI

10.1109/MEC.2011.6025847

Filename

6025847