18209147. Model Based Multi-Variable Predictive Control for Metal Rolling Mills (Honeywell International Inc.)
Contents
Model Based Multi-Variable Predictive Control for Metal Rolling Mills
Organization Name
Inventor(s)
Dattaraj Bhat of Bengaluru (IN)
Shailendra Kumar Gupta of Bengaluru (IN)
Model Based Multi-Variable Predictive Control for Metal Rolling Mills
This abstract first appeared for US patent application 18209147 titled 'Model Based Multi-Variable Predictive Control for Metal Rolling Mills
Original Abstract Submitted
A control system employs a model-based multi-variable predictive control for cold rolling mills to improve sheet thickness uniformity to meet or exceed specifications in flatness. Sheet metal thickness and flatness deviations from standard requirements are significantly reduced with attendant improved control accuracy as compared to traditional control approaches that use PID based closed loop controls. The control system is particularly suited for control of 4-hi non-reversible single-stand metal rolling mills. The mill stand has a first work roll and a second work roll respectively positioned between a first back up roll and a second back up roll. A plurality of sensors measures and acquires property data of the sheet of material. A model predictive controller manipulates actuators to regulate thickness and flatness. The controller executes automatic gauge control, which is machine direction metal control, and automatic flatness control, which is cross direction metal sheet control, as metal sheet is rolled.
