Dynamic mode decomposition based MPC of fluidized bed spray agglomeration
Otto E, Dürr R, Bück A, Kienle A (2024)
Publication Type: Conference contribution
Publication year: 2024
Journal
Publisher: Elsevier B.V.
Book Volume: 58
Pages Range: 694-699
Conference Proceedings Title: IFAC-PapersOnLine
Event location: Toronto, ON, CAN
DOI: 10.1016/j.ifacol.2024.08.418
Abstract
Fluidized bed spray agglomeration (FBSA) is an efficient particle formation process for the production of granules extensively used in the food, agricultural and pharmaceutical industry. Specifications on agglomerate properties such as the agglomerate size determine the quality of the product and can be controlled by varying different process conditions. In this contribution data-driven model predictive control (MPC) of the average agglomerate size is presented. Dynamic mode decomposition (DMD) is used to identify a linear model of the process dynamics from snapshot measurements of the particle size distribution. Using DMD as system identification technique eliminates the complex process of identifying a mechanistic process model and at the same time includes advantageous model order reduction for the MPC application. The DMD model is obtained from simulated data and validated against a second, independent, data set. Subsequently, the model is deployed in an MPC controller, which is tested in a simulation study, showing promising performance in set point tracking and disturbance rejection scenarios.
Authors with CRIS profile
Involved external institutions
Germany (DE)How to cite
APA:
Otto, E., Dürr, R., Bück, A., & Kienle, A. (2024). Dynamic mode decomposition based MPC of fluidized bed spray agglomeration. In Martin Monnigmann, Ali Mesbah, Christopher Swartz (Eds.), IFAC-PapersOnLine (pp. 694-699). Toronto, ON, CAN: Elsevier B.V..
MLA:
Otto, E., et al. "Dynamic mode decomposition based MPC of fluidized bed spray agglomeration." Proceedings of the 12th IFAC Symposium on Advanced Control of Chemical Processes, ADCHEM 2024, Toronto, ON, CAN Ed. Martin Monnigmann, Ali Mesbah, Christopher Swartz, Elsevier B.V., 2024. 694-699.
BibTeX: Download