Looper and tension control in hot rolling mills: A survey ☆

Abstract Looper and tension control is important in hot strip mills because they affect the strip quality as well as strip threading. Moreover, the most difficult challenge in controller design and control performance arises from the interaction between looper angle and strip tension. Disturbances from several sources cause a deterioration in control performance, and thus a major role of the control algorithm is effective disturbance rejection. Many authors have proposed and applied a variety of control schemes to this control problem, but nevertheless, the increasingly strict market demand for strip quality requires further improvements in this control area. Hence, this paper critically surveys the strengths and weaknesses of several existing academic and industrial approaches and explores the potential for development in this area.

[1]  M. Grimble,et al.  Restricted structure adaptive predictive control of nonlinear systems , 2002, Proceedings of the International Conference on Control Applications.

[2]  Y. Kotera,et al.  Multivariable Control of Hot Strip Mill Looper , 1981 .

[3]  Andrzej Ordys,et al.  Application of efficient nonlinear predictive control to a hot strip finishing mill , 2002, Proceedings of the International Conference on Control Applications.

[4]  Y. Kadoya,et al.  Strip gage and tension control at cold tandem mill based on ILQ design theory , 1999, Proceedings of the 1999 IEEE International Conference on Control Applications (Cat. No.99CH36328).

[5]  Manfred Morari,et al.  Interaction measure of tension-thickness control in tandem cold rolling , 1998 .

[6]  Akira Kitamura,et al.  Robust Control of Looper Angle for Hot Strip Mills , 1991 .

[7]  Kazuhiro Yamamoto,et al.  Hot strip mill tension–looper control based on decentralization and coordination , 1998 .

[8]  Hidenori Kimura,et al.  Observer-based Multivariable Control of Rolling Mills , 1998 .

[9]  T. Jones,et al.  Control of mass flow in a hot strip mill using model predictive control , 2002, Proceedings of the International Conference on Control Applications.

[10]  Mark Rice,et al.  A numerically robust state-space approach to stable-predictive control strategies , 1998, Autom..

[11]  Tim Hesketh,et al.  Controller design for hot strip finishing mills , 1998, IEEE Trans. Control. Syst. Technol..

[12]  G. Hearns,et al.  Multivariable Gauge and Mass Flow Control for Hot Strip Mills , 2004 .

[13]  Hidenori Kimura,et al.  Observer-based multivariable tension control of aluminum hot rolling mills , 1996, Proceedings of 35th IEEE Conference on Decision and Control.

[14]  Kunio Sekiguchi,et al.  Looper H-infinity control for hot strip mills , 1995, IAS '95. Conference Record of the 1995 IEEE Industry Applications Conference Thirtieth IAS Annual Meeting.

[15]  Michael J. Grimble,et al.  Load distribution ratio as a benchmark for flatness using predictive control , 2002, Proceedings of the 41st IEEE Conference on Decision and Control, 2002..

[16]  H. Shiomi,et al.  Optimal control system for hot strip finishing mill , 1996 .

[17]  G. Hearns,et al.  Inferential control for rolling mills , 2000 .

[18]  K. Sekiguchi,et al.  Optimal multivariable looper control for hot strip finishing mill , 1988, Conference Record of the 1988 IEEE Industry Applications Society Annual Meeting.

[19]  John C. Price. The Hot Strip Mill Looper System , 1973 .

[20]  Michael J. Grimble,et al.  A generalized predictive control benchmark index for MIMO systems , 2002, Proceedings of the International Conference on Control Applications.

[21]  Yoichi Hori,et al.  Robust servosystem design with two degrees of freedom and its application to novel motion control of robot manipulators , 1993, IEEE Trans. Ind. Electron..

[22]  M. Shioya,et al.  Noninteracting control with disturbance compensation and its application to tension-looper control for hot strip mill , 1995, Proceedings of IECON '95 - 21st Annual Conference on IEEE Industrial Electronics.

[23]  M. Konishi,et al.  Modeling of gain tuning operation for hot strip looper controller by recurrent neural network , 2004, Proceedings of the 2004 IEEE International Conference on Control Applications, 2004..

[24]  Yong-Taek Im,et al.  Fuzzy control algorithm for the prediction of tension variations in hot rolling , 1999 .

[25]  K. Furuta,et al.  On the possibility of looperless rolling on hot rolling process , 1999, Proceedings of the 1999 IEEE International Conference on Control Applications (Cat. No.99CH36328).

[26]  Michael J. Grimble,et al.  Robust Multivariable Control for Hot Strip Mills , 2000 .

[27]  Young Hoon Moon,et al.  HOT STRIP WIDTH CONTROL METHOD BY USING LOOPER TENSION MEASURING SYSTEM IN FINISHING MILL , 2001 .

[28]  Ryoichi Takahashi,et al.  State of the art in hot rolling process control , 2001 .

[29]  Yoshiharu Anbe,et al.  Tension Control of a Hot Strip Mill Finisher , 1996 .

[30]  Farrokh Janabi-Sharifi A neuro-fuzzy system for looper tension control in rolling mills , 2005 .

[31]  Hideki Asada,et al.  Adaptive and Robust Control Method with Estimation of Rolling Characteristics for Looper Angle Control at Hot Strip Mill , 2003 .