Journal of Northeastern University ›› 2011, Vol. 32 ›› Issue (5): 614-617.DOI: -

• OriginalPaper • Previous Articles     Next Articles

Using a gray predictive model for controlling dynamic tension during cold rolling

Zhang, Yan (1); Shao, Fu-Qun (1); Wang, Jun-Sheng (2); Liu, Yun-Jiang (2)   

  1. (1) School of Information Science and Engineering, Northeastern University, Shenyang 110819, China; (2) Angang Steel Co., Ltd., Anshan 114021, China
  • Received:2013-06-19 Revised:2013-06-19 Published:2013-04-04
  • Contact: Zhang, Y.
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Abstract: Maintaining controlled tension in a cold rolling mill is difficult when parameters in conventional PID controllers are non-variable. By analyzing dynamic tension control theory of roller gap and velocity, a variable parameter PID controllers were designed. Using the grey predictive PID control to enhance stability and precision of the tension control, the simulation and application experiments results indicated that system dynamic response performance and disturbance depression was significantly enhanced. The system has more favorable characteristics over conventional PID controllers.

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