Title :
Predictive modeling using adaptive PLS desulphurization reagent control system
Author :
Dudzic, Michael ; Quinn, Shannon
Author_Institution :
Dofasco Inc., Hamilton, Ont., Canada
Abstract :
Projection to latent structures (partial least squares) is a multivariate statistical (MVS) technology that can be applied in inference/predictive control strategies. Dofasco has used MVS as the basis for an online, adaptive PLS prediction system, which is used to control its desulphurization facility. This paper introduces the reader to the basic process of steel desulphurization and motivation for the MVS modeling in this application. Also, the paper examines the PLS and associated adaptation algorithm used. Comments regarding online experiences and operational results are also given.
Keywords :
adaptive control; chemical variables control; least squares approximations; predictive control; process control; statistical analysis; steel industry; Dofasco; adaptive control; chemical reactants; desulphurization; latent structure projection; multivariate statistical analysis; partial least squares; predictive control; steel industry; Adaptive control; Chemical processes; Control system synthesis; Control systems; Covariance matrix; Kernel; Memory; Predictive models; Programmable control; Steel;
Conference_Titel :
American Control Conference, 2002. Proceedings of the 2002
Print_ISBN :
0-7803-7298-0
DOI :
10.1109/ACC.2002.1024874
