Robust inferential control for hot strip mills

Abstract An robust inferential controller is developed for hot strip rolling mill tension control. Since tension cannot be measured a non-linear model is used to infer the tension from the looper angle. Since the model uses constant physical parameters and the actual physical system will be uncertain then Quantitative Feedback Theory is used to design a tension controller which will provide robust performance despite physical system uncertainty and uncertainty in the inference model or soft sensor.