Model Based Multi-Variable Predictive Control for Metal Rolling Mills
AssigneeHoneywell International Inc.
InventorsDattaraj Bhat, Shailendra Kumar Gupta
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AssigneeHoneywell International Inc.
InventorsDattaraj Bhat, Shailendra Kumar Gupta
Estimating the term…
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.
A controller for controlling thickness and flatness of sheet metal in a mill exiting a roll stand comprising a first work roll and a second work roll respectively positioned between a first back up roll and a second back up roll, the controller comprising a processor and code stored on media readable by the processor to control the thickness of the sheet metal, the controller comprising:
A method of programming a controller for automatically controlling thickness and flatness of sheet metal produced by a roll stand, the method comprising:
A controller for controlling thickness and flatness of sheet metal exiting a roll stand having a first work roll and a second work roll comprising:
Dependencies are inferred from the claim text.