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

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...

Full description

Saved in:
Bibliographic Details
Published in2019 IEEE Conference on Control Technology and Applications (CCTA) pp. 1036 - 1042
Main Authors Miklos, Robert, Petersen, Lars Norbert, Poulsen, Niels Kjolstad, Utzen, Christer, Jorgensen, John Bagterp, Niemann, Hans Henrik
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2019
Subjects
Feeds
Kalman filters
Liquids
Mathematical model
Moisture
Powders
Temperature control
Online AccessGet full text

Cover

More Information
Summary: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.
DOI:10.1109/CCTA.2019.8920460