Fuzzy approach to shape control in cold rolling of steel strip

Access Full Text

Fuzzy approach to shape control in cold rolling of steel strip

For access to this article, please select a purchase option:

Buy article PDF
£12.50
(plus tax if applicable)
Add to cart
Buy Knowledge Pack
10 articles for £75.00
(plus taxes if applicable)
Add to cart

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
Electronics Letters — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

© IEE
Published

Cross-sectional shape control in the cold rolling of thin steel strips has been simulated using a fuzzy controller and emulator developed using fuzzy theory and neural networks, respectively, based on production data. Irregular cross-sectional shapes of cold-rolled thin steel strips were classified into six types. For each irregular strip shape, fuzzy control rules were developed and applied continuously until the strip shape converged to the desired flat shape. The simulation results demonstrated that the developed fuzzy controller worked properly.

Inspec keywords: process control; spatial variables control; fuzzy control; steel manufacture; neural nets; cold rolling

Other keywords: emulator; steel strip; simulation; fuzzy controller; production data; cross-sectional shape; cold rolling; neural networks; shape control

Subjects: Industrial processes; Metallurgical industries; Control applications in metallurgical industries; Spatial variables control; Industrial applications of IT; Control engineering computing; Neural computing techniques; Control technology and theory (production)

References

    1. 1)
      • E.H. Mamdani . Applications of fuzzy algorithms for simple dynamic plant. Proc. IEEE , 12 , 1585 - 1588
    2. 2)
      • Yamamoto, H., Baba, K., Kikuma, T.: `Dynamic simulation for the optimal automatic control system of stripshape in cold rolling', Advanced Technology of plasticity (Proc. of the 3rd ICTP), 1990, Kyoto, Japan, p. 797–802.
    3. 3)
      • A. Hasegawa , F. Taki . Development of fuzzy set theory-based shape control system for cold stripmill. Nippon Steel Tech. Rep. , 49 , 59 - 62
http://iet.metastore.ingenta.com/content/journals/10.1049/el_19941181
Loading

Related content

content/journals/10.1049/el_19941181
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading