Title :
Moving-horizon state estimation applied to an industrial polymerization process
Author :
Russo, Louis P. ; Young, Robert E.
Author_Institution :
Eng. Specialist Dept., Exxon Chem. Co., Baytown, TX, USA
Abstract :
In this paper, a simplified version of a model available from the literature is used to illustrate some of the issues encountered when applying a moving-horizon state estimator (MHSE) to industrial polymerization processes. Results of an online implementation will be presented. This online implementation of moving-horizon state estimation is used to investigate the effects of weight selection, initial conditions and disturbance model structure on estimator performance. Orthogonal collocation is used to discretize the equations allowing simultaneous solution of the estimation problem using commercially available numerically efficient optimization software. These results demonstrate that this class of nonlinear horizon-based estimators can be implemented on industrially relevant problems with modest computing hardware
Keywords :
chemical engineering computing; chemical technology; computer aided analysis; optimisation; polymerisation; state estimation; MHSE; commercially available numerically efficient optimization software; disturbance model structure; estimator performance; industrial polymerization process; initial conditions; moving-horizon state estimator; nonlinear horizon-based estimators; online implementation; orthogonal collocation; weight selection; Chemical engineering; Differential algebraic equations; Industrial control; Nonlinear equations; Parameter estimation; Plastics industry; Polymers; Predictive control; Predictive models; State estimation;
Conference_Titel :
American Control Conference, 1999. Proceedings of the 1999
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-4990-3
DOI :
10.1109/ACC.1999.783217
