Multi-dimensional size control in Rod Bar Rolling and Cold Strip Rolling by using fuzzy method

Harutoshi Ogai, Akira Fujii, Kanji Baba, Sumitada Kakimoto, Tetumi Harakawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

We developed multivariable control systems of Rod Bar Rolling and Cold Strip Rolling. In these systems we used the multivariable control theory and intelligent control method, that is, fuzzy method to adjust the multi-dimensional size such as the section shape in bar rolling, shape (strip flatness) and edge drop (strip edge thickness distribution) in cold strip rolling. Each system consists of two parts: one is dynamic control (AGC, FTC and so on) and the other is set up. This paper will present a set-up method of roll revolution speed for free Tension rolling in Rod Bar Mill and of tapered work roll shift in Cold Strip Mill by using fuzzy method.

Original languageEnglish
Title of host publicationProceedings of the American Control Conference
Pages3822-3823
Number of pages2
Volume6
DOIs
Publication statusPublished - 1998
Externally publishedYes
Event1998 American Control Conference, ACC 1998 - Philadelphia, PA
Duration: 1998 Jun 241998 Jun 26

Other

Other1998 American Control Conference, ACC 1998
CityPhiladelphia, PA
Period98/6/2498/6/26

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ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Ogai, H., Fujii, A., Baba, K., Kakimoto, S., & Harakawa, T. (1998). Multi-dimensional size control in Rod Bar Rolling and Cold Strip Rolling by using fuzzy method. In Proceedings of the American Control Conference (Vol. 6, pp. 3822-3823). [703361] https://doi.org/10.1109/ACC.1998.703361