Inferential control for rolling mills

A robust inferential controller is developed for hot strip rolling mill tension control. Tension cannot be measured, therefore a nonlinear model is used to infer the tension from the looper angle. The model uses constant physical parameters while the actual physical system will be uncertain, therefore quantitative feedback theory is used to design a tension controller, which will provide robust performance despite uncertainty from both the physical system and the inference model or soft sensor