Technology of MTST temperature control in cooling process of hot rolling mills

被引：0
作者：
Park C.J. [1 ]
机构：
[1] School of Mechanical Engineering, Daegu University
来源：
Journal of Institute of Control, Robotics and Systems | 2018年 / 24卷 / 03期
关键词：
Cooling process; Hot rolling mills; Modified t-test; Probability test; Run-out table; Temperature control;
D O I：
10.5302/J.ICROS.2018.17.0190
中图分类号：
学科分类号：
摘要：
In this paper, we propose an algorithm to improve the accuracy of temperature control of the steel by optimizing the heat flux learning structure in the hot rolling cooling process. A modified two-sample t-test (MTST) method is suggested to overcome the problems of the two-sample t-test, and the t-test results of two groups are calculated with probability to confirm the identity of the mean. Based on the analysis of the proposed learning structure, we verify the algorithm using the actual data of the hot rolling mills. The test results show that the performance of temperature control is significantly improved by the proposed algorithm. © ICROS 2018.
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页码：278 / 283
页数：5
相关论文
共 14 条
  • [1] Samaras N.S., Simaan M.A., Optimized trajectory tracking control of multistage dynamic metal-cooling processes,, IEEE Transactions on Industry Applications, 37, 3, pp. 920-927, (2001)
  • [2] Biswas S.K., Chen S., Satyanarayana A., Optimal temperature tracking for accelerated cooling processes in hot rolling of steel,, Dynamics and Control, 7, pp. 327-340, (1997)
  • [3] Park C.J., Dynamic temperature control with variable heat flux for high strength steel,, International Journal of Control, Automation, and Systems, 10, 3, pp. 659-665, (2012)
  • [4] Xie H.B., Jiang Z.Y., Liu X.H., Wang G.D., Tieu A.K., Prediction of coiling temperature on run-out table of hot strip mill using data mining,, Journal of Materials Processing Technology, 177, 1-3, pp. 121-125, (2006)
  • [5] Park C.J., SPDR scheme for disturbance reduction in ROT process with measurement delay,, Journal of Institute of Control, Robotics and Systems (in Korean), 20, 10, pp. 1023-1029, (2014)
  • [6] Auzinger D., Parzer F., Process optimization for laminar cooling,, Journal of Materials Processing Technology, 5, pp. 68-75, (1996)
  • [7] Hinrichsen E.N., Petrus G.P., Hot strip mill runout table cooling-A system view of control, operation and equipment,, Iron and Steel Engineers, 53, 10, pp. 29-34, (1976)
  • [8] Park C.J., Yoon K.S., LBCC of transient state for high strength steel in hot strip mills,, Journal of Institute of Control, Robotics and Systems, 17, 4, pp. 382-387, (2011)
  • [9] Leltholf M.D., Dahm J.R., Model reference control of runout table cooling at LTV,, Iron and Steel Engineers, 66, 8, pp. 31-35, (1989)
  • [10] Samaras N.S., Simaan M.A., Water-cooled end-point boundary temperature control of hot strip via dynamic programming,, IEEE Transactions on Industry Applications, 34, 6, pp. 1335-1341, (1998)
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