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

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedings – Annual report year: 2015Researchpeer-review

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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
Publication statusPublished - 2015
Event5th IFAC Conference on Nonlinear Model Predictive Control (NMPC 2015) - Seville, Spain
Duration: 17 Sep 201520 Sep 2015
Conference number: 5


Conference5th IFAC Conference on Nonlinear Model Predictive Control (NMPC 2015)
Internet address
CitationsWeb of Science® Times Cited: No match on DOI

    Research areas

  • Model Predictive Control, Optimization, Spray Drying, Simulation

ID: 116512754