Temperature profile estimation for a thermal regenerator

Author

Muske, Kenneth R. ; Howse, James W. ; Hansen, Glen A. ; Cagliostro, Dominic J.

Author_Institution

Dept. of Chem. Eng., Villanova Univ., PA, USA

Volume

4

fYear

1999

fDate

6/21/1905 12:00:00 AM

Firstpage

3944

Abstract

The thermal regenerator system studied is the blast furnace stoves for the No. 7 blast furnace at the Ispat Inland facility in East Chicago, Indiana. The paper outlines the process model and model-based state estimation techniques implemented on these stoves. The process model is a detailed heat transfer model of the stoves used as part of a predictive control scheme to determine the minimum amount of fuel necessary to heat the blast air. Batch nonlinear least squares estimation is used to update the predicted temperature profile at the end of each cooling cycle. This estimated profile is then used by the model-based controller to determine the minimum fuel requirement for the subsequent heating cycle

Keywords

closed loop systems; furnaces; heat transfer; least squares approximations; model reference adaptive control systems; predictive control; process control; state estimation; East Chicago; Ispat Inland facility; batch nonlinear least squares estimation; blast furnace stoves; cooling cycle; heating cycle; minimum fuel requirement; model-based controller; model-based state estimation techniques; predictive control scheme; process model; temperature profile estimation; thermal regenerator; Blast furnaces; Cooling; Fuels; Heat transfer; Heating; Least squares approximation; Predictive control; Predictive models; State estimation; Temperature control;

fLanguage

English

Publisher

ieee

Conference_Titel

Decision and Control, 1999. Proceedings of the 38th IEEE Conference on

Conference_Location

Phoenix, AZ

ISSN

0191-2216

Print_ISBN

0-7803-5250-5

Type

conf

DOI

10.1109/CDC.1999.827975

Filename

827975