Comparison of Linear and Nonlinear Model Predictive Control for Optimization of Spray Dryer Operation

Lars Norbert Petersen, Niels Kjølstad Poulsen, Hans Henrik Niemann, Christer Utzen, John Bagterp Jørgensen

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

In this paper, we compare the performance of an economically optimizing Nonlinear Model Predictive Controller (E-NMPC) to a linear tracking Model Predictive Controller (MPC) for a spray drying plant. We find in this simulation study, that the economic performance of the two controllers are almost equal. We evaluate the economic performance with an industrially recorded disturbance scenario, where unmeasured disturbances and model mismatch are present. The state of the spray dryer, used in the E-NMPC and MPC, is estimated using Kalman Filters with noise covariances estimated by a maximum likelihood (ML) method.
Original languageEnglish
Title of host publicationPreprints of the 5th IFAC Conference on Nonlinear Model Predictive Control (NMPC)
PublisherInternational Federation of Automatic Control
Publication date2015
Pages218-223
DOIs
Publication statusPublished - 2015
Event5th IFAC Conference on Nonlinear Model Predictive Control (NMPC 2015) - Seville, Spain
Duration: 17 Sept 201520 Sept 2015
Conference number: 5
http://disa.us.es/nmpc15/

Conference

Conference5th IFAC Conference on Nonlinear Model Predictive Control (NMPC 2015)
Number5
Country/TerritorySpain
CitySeville
Period17/09/201520/09/2015
Internet address

Keywords

  • Model Predictive Control
  • Optimization
  • Spray Drying
  • Simulation

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