Control-oriented greybox noise structure of multi-stage spray dryers for data-driven tuning of kalman filter

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

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

Abstract

To facilitate data-driven tuning of kalman filter, we propose a control-oriented greybox noise structure of multi-stage spray dryers. In the first step, we derive the noise structure by a combination of physical arguments, experimental data and control-oriented considerations. In the second step, we evaluate the proposed noise structure by comparison to a benchmark noise structure used in the industry. The comparison is based on experimental data from a pilot plant. The evaluations show that the proposed noise structure gives a difference only in noise-performance trade-offs. Hence the proposed noise structure is suitable to be used in closed loop control of multi-stage spray dryers.
Original languageEnglish
Title of host publicationProceedings of 2019 Ieee Conference on Control Technology and Applications
Number of pages7
PublisherIEEE
Publication date2019
Pages1036-1042
DOIs
Publication statusPublished - 2019
Event2019 IEEE Conference on Control Technology and Applications (CCTA) - City University of Hong Kong, Hong Kong, China
Duration: 19 Aug 201921 Aug 2019
Conference number: 3
https://ccta2019.ieeecss.org/

Conference

Conference2019 IEEE Conference on Control Technology and Applications (CCTA)
Number3
LocationCity University of Hong Kong
CountryChina
CityHong Kong
Period19/08/201921/08/2019
Internet address
Series2019 Ieee Conference on Control Technology and Applications (ccta)

Cite this

Miklos, R., Petersen, L. N., Poulsen, N. K., Utzen, C., Jørgensen, J. B., & Niemann, H. H. (2019). Control-oriented greybox noise structure of multi-stage spray dryers for data-driven tuning of kalman filter. In Proceedings of 2019 Ieee Conference on Control Technology and Applications (pp. 1036-1042). IEEE. 2019 Ieee Conference on Control Technology and Applications (ccta) https://doi.org/10.1109/ccta.2019.8920460