This paper describes the model-based control and estimation techniques impl
emented on the hot blast stoves for the number 7 blast furnace at the Ispat
Inland Steel facility in East Chicago, IN. The process model is a detailed
heat transfer model of this thermal regenerator system used as part of a p
redictive control scheme to determine the minimum amount of fuel necessary
to achieve the energy requirements. Batch nonlinear least squares estimatio
n is used to update the predicted temperature profile and heat transfer coe
fficients. These estimated parameters are then used by the model-based cont
roller to determine the minimum fuel required for the subsequent regenerati
ve cycle. (C) 2000 Elsevier Science Ltd. All rights reserved.