Metall. Res. Technol.
Volume 114, Number 4, 2017
|Number of page(s)||15|
|Published online||03 July 2017|
Dynamic tracking prediction control of exit strip thickness based on improved fractal
Institute of Advanced Control Technology, Dalian University of Technology,
116024, PR China
2 School of Information, Liaoning University, Shenyang 110036, PR China
* Corresponding author: firstname.lastname@example.org
Received in final form: 7 April 2017
Accepted: 9 May 2017
The dynamic tracking prediction of the exit strip thickness (EST) has important contribution to solve the problem of low strip thickness accuracy caused by the delay of the monitor AGC in the hot rolling mill. Fractal extrapolation-interpolation method is presented to apply for EST prediction. The key problem to be solved is determining the vertical scaling factors in fractal interpolation prediction, the vertical scaling factor optimization function is established, which is designed by three items containing of the interpolation error, model tracking performance and the constraint condition of the vertical scaling factors in the fractal theory. In addition, chaos optimization algorithm is used to solve the optimal vertical scaling factors. The optimal fractal method is embedded in the traditional monitor AGC, which forms a new prediction control method of EST (denoted as IFEIP-AGC). Compared with traditional monitor AGC and Smith-AGC, the simulation results verify that IFEIP-AGC method has better dynamic tracking performance and robustness.
Key words: fractal / chaos optimization / hot rolling / prediction control
© EDP Sciences, 2017
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.