Metall. Res. Technol.
Volume 117, Number 3, 2020
|Number of page(s)||11|
|Published online||01 June 2020|
Constrained dynamic matrix control strategy for a monitoring system for AGC of hot strip mills
Institute of Manufacturing Engineering, Hua Qiao University,
361021, PR China
* e-mail: firstname.lastname@example.org
Accepted: 22 April 2020
In the hot strip rolling process, the performance of a monitoring system for automatic gauge control (MN-AGC) is influenced greatly by the model mismatch which is caused by the variation of model parameters values. A constrained dynamic matrix control (CDMC) strategy that includes a prediction model, rolling optimization, and feedback correction was used in the MN-AGC. First, the conventional Smith prediction-based control strategy for the MN-AGC was analyzed. Second, the performance index function and optimal control of the CDMC strategy were determined. Finally, simulations and industrial experiments were conducted. The results showed that both control strategies provided good control performance. When model mismatch occurred, the Smith predictor-based MN-AGC resulted in significant overshoot or even oscillations but the control performance of the CDMC-based MN-AGC was not influenced by changes in the model parameters.
Key words: hot strip rolling / automatic gauge control / monitoring system for AGC / CDMC strategy
© EDP Sciences, 2020
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.