DocumentCode :
3396670
Title :
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
Link To Document :
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