Tail Crash Control in Hot Strip Mill by LQR

Takanori Kiyota, Hiromi Matsumoto, Yoshiro Adachi, Eiji Kondo, Yasutaka Tsuji, Satoshi Aso

Research output: Contribution to journalConference articlepeer-review

20 Citations (Scopus)


This paper proposes a modified linear model for the snake motion in the hot strip rolling, and the tail crash control by the optimal regulator is considered. First, a good linear model for the snake motion is provided by introducing some parameters to conventional equations. Next, the state-space model is derived from the obtained linear model, and the optimal regulator is designed. It is assumed that only the pressure difference and the leveling gap can be measured by sensors, and thus, an observer is used to estimate the off-center value and its differentiation. The dynamic simulation based on the generalized 2-dimensional theory is used for adjusting parameters and for the control system design, instead of the experiment using actual plant. The effectiveness of the proposed method is demonstrated by numerical experiments of the hot strip rolling by a six-high mill.

Original languageEnglish
Pages (from-to)3049-3054
Number of pages6
JournalProceedings of the American Control Conference
Publication statusPublished - 2003
Event2003 American Control Conference - Denver, CO, United States
Duration: Jun 4 2003Jun 6 2003

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering


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