Dianhua Zhang, Hao Zhang, Tao Sun, and Xu Li, Monitor automatic gauge control strategy with a Smith predictor for steel strip rolling, J. Univ. Sci. Technol. Beijing, 15(2008), No. 6, pp. 827-832. https://doi.org/10.1016/S1005-8850(08)60295-9
Cite this article as:
Dianhua Zhang, Hao Zhang, Tao Sun, and Xu Li, Monitor automatic gauge control strategy with a Smith predictor for steel strip rolling, J. Univ. Sci. Technol. Beijing, 15(2008), No. 6, pp. 827-832. https://doi.org/10.1016/S1005-8850(08)60295-9
Dianhua Zhang, Hao Zhang, Tao Sun, and Xu Li, Monitor automatic gauge control strategy with a Smith predictor for steel strip rolling, J. Univ. Sci. Technol. Beijing, 15(2008), No. 6, pp. 827-832. https://doi.org/10.1016/S1005-8850(08)60295-9
Citation:
Dianhua Zhang, Hao Zhang, Tao Sun, and Xu Li, Monitor automatic gauge control strategy with a Smith predictor for steel strip rolling, J. Univ. Sci. Technol. Beijing, 15(2008), No. 6, pp. 827-832. https://doi.org/10.1016/S1005-8850(08)60295-9
The simplified transfer function diagram block for a monitor automatic gauge control (Mon-AGC) system of strip steel rolling process was investigated. The new notion of strip sample length was given. In this way, the delay time varying with the rolling speed was evaded. After a Smith predictor was used to monitor the AGC system, the control laws were deduced for both proportional and integral regulators. The control strategies showed that by choosing the controller parameter P=∞ for both control algorithms each regulator could compensate the whole strip gage error in the first control step. The result shows that the integral algorithm is more controllable for the system regulating process and has a better steady-state precision than the proportional regulator. Compared with the traditional control strategy, the new control laws have a faster response speed and a hieher steadv-state precision.