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Paper No. 225d


Moving Horizon Estimation and Control of an Experimental Process

Edward P.Gatzke, Francis J. Doyle III1
 

Department of Chemical Engineering

University of Delaware



Keywords: Parameter Estimation, Moving Horizon, Experimental Process, Mixed Integer Programming
 
 

Prepared for Presentation at the November 1999 National Meeting, Dallas

Copyright 1999, University of Delaware

Unpublished
 
 

AIChE shall not be responsible for statements or opinions contained in papers or in its publications.

Abstract:

A horizon-based method is presented for use in control and estimation of a dynamic process. Process measurements are used to solve a Mixed Integer optimization process online for estimating disturbance levels. The estimated disturbances are then used to update a Model Predictive Control (MPC) algorithm. The method is applied to two case studies: an experimental multivariable process and a carbon dioxide absorber simulation.

Keywords: Disturbance Estimation, Model Predictive Control, Moving Horizon, Mixed Integer Programming, Distributed Computing.




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Edward Price Gatzke

1999-10-27