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http://dx.doi.org/10.5302/J.ICROS.2008.14.3.295

RHC based Looper Control for Hot Strip Mill  

Park, Cheol-Jae ((주)포스코)
Publication Information
Journal of Institute of Control, Robotics and Systems / v.14, no.3, 2008 , pp. 295-300 More about this Journal
Abstract
In this paper, a new looper controller is proposed to minimize the tension variation of a strip in the hot strip finishing mill. The proposed control technology is based on a receding horizon control (RHC) to satisfy the constraints on the control input/state variables. The finite terminal weighting matrix is used instead of the terminal equality constraint. The closed loop stability of the RHC for the looper system is analyzed to guarantee the monotonicity of the optimal cost. Furthermore, the RHC is combined with a 4SID(Subspace-based State Space System Identification) model identifier to improve the robustness for the parameter variation and the disturbance of an actuator. As a result, it is shown through a computer simulation that the proposed control scheme satisfies the given constraints on the control inputs and states: roll speed, looper current, unit tension, and looper angle. The control scheme also diminishes the tension variation for the parameter variation and the disturbance as well.
Keywords
hot strip finishing mill; tension control; looper-tension control; RHC control; 4SID; subspace identification;
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1 M. Okada, K. Murayama, A. Urano, Y. Iwasaki, A. Kawano, and H. shiomi, "Optimal control system for hot strip finishing mill," Control Engineering Practice, vol. 6, pp. 1029-1034, 1998   DOI   ScienceOn
2 K. Asano, K. Yamamoto, T. Kawase, and N. Nomura, "Hot strip mill tension-looper control based on decentralization and coordination," Control Engineering Practice, vol. 8, pp. 337-344, 2000   DOI   ScienceOn
3 W. H. Kwon and S. H. Han, Receding Horizon Control : Model Predictive Control for State Models. Springer Verlag, 1 ed., 2005
4 H. Asada, A. Kitamura, S. Nishino, and M. Konishi, "Adaptive and robust control method with estimation of rolling characteristics for looper angle control at hot strip mill," ISIJ International, vol. 43, no. 3, pp. 358-365, 2003   DOI
5 Y. Seki, K. Sekiguchi, Y. Anbe, K. Fukushima, Y. Tsuji, and S. Ueno, "Optimal multivariable looper control for hot strip finishing mill," IEEE Transactions on Industry Applications, vol. 27, no. 1, pp. 124-130, 1991   DOI   ScienceOn
6 T. Hesketh, Y. Jiang, D. Clements, D. Butler, and R. Laan, "Controller design for hot strip finishing mills," IEEE Transactions on Control Systems Technology, vol. 6, no. 2, pp. 208-219, 1998   DOI   ScienceOn
7 H. Imanari, Y. Morimatsu, K. Sekiguchi, H. Ezure, R. Matuoka, A. Tokuda, and H. Otobe, "Looper H-Infinity control for hot-strip mills," IEEE Transactions on Industry Applications, vol. 33, no. 3, pp. 790-796, 1997   DOI   ScienceOn
8 P. V. Overschee and B. DeMoor, "N4sid: subspace algorithms for the identification of combined deterministicstochastic systems," Automatica, vol. 30, no. 1, pp. 75-93, 1994   DOI   ScienceOn
9 M. Verhaegen and P. Dewilde, "Subspace model identification part 1: the output-error state-space model identification class of algorithms," Int. J. Control, vol. 56, no. 5, pp. 1187-1210, 1992   DOI   ScienceOn
10 A. Isii, "Analysis of width deviation for hot strip finishing mill," Japan Society for Technology of Plasticity, pp. 219- 222, 1992
11 Y. L. Hsu, C. C. Cheng, and S. L. Wen, "Prediction of looper response in the hot strip finishing mill," American Society of Mechanical Engineers, vol. 10, pp. 3-9, 1999
12 G. Hearns, T. Bilkhu, P. Smith, and P. Reeve, "Multivariable gauge and mass flow control for hot strip mills," MPT Metallurgical Plant and Technology International, vol. 27, no. 2, pp. 84-88, 2004
13 J. Price, "The hot strip mill looper system," IEEE Transactions on Industry Applications, vol. IA-9, no. 5, pp. 556-562, 1973   DOI   ScienceOn
14 S. Kunimatsu, T. Fujii, and T. Tsujino, "Quadratic stabilization of ILQ servo systems with generalized reference inputs," T. SICE, vol. 39, no. 3, pp. 307-309, 2003   DOI
15 H. Imanari, Y. Seki, K. Sekiguchi, and Y. Anbe, "Application of ILQ control theory to steel rolling processes," Proceedings of The 7th International Conference on Steel Rolling, pp. 36-41, 1998
16 K. Asano, K. Tsuda, J. Imura, A. Kojima, and S. Masuda, "A hybrid system approach to tension control in hot rolling," IFAC World Congress, 2005
17 J. W. Lee, W. H. Kwon, and J. H. Choi, "On stability of constrained receding horizon control with finite terminal weighting matrix," Automatica, vol. 34, no. 12, pp. 1607- 1612, 1998   DOI   ScienceOn
18 M. Moonen, B. DeMoor, L. Vandenberghe, and J. Vandewalle, "On and off-line identification of linear statespace models," Int. J. Control, vol. 49, 1989
19 C. J. Park and D. M. Lee, "Input selection technology of neural network and its application for hot strip mill," IFAC World Congress, 2005
20 M. Clark, H. Versteeg, and W. Konijn, "Development of new high performance loopers for hot strip mills," Iron and Steel Engineer, pp. 64-70, 1997
21 M. Viberg, "Subspace-based methods for the identification of linear time-invariant systems," Automatica, vol. 31, no. 12, pp. 1835-1851, 1995   DOI   ScienceOn
22 W. Favoreel, B. DeMoor, and P. V. Overschee, "Subspace state space system identification for industrial processes," Journal of Process Control, vol. 10, pp. 149-155, 2000   DOI   ScienceOn