Conference paper
Control-oriented greybox noise structure of multi-stage spray dryers for data-driven tuning of kalman filter
Department of Electrical Engineering, Technical University of Denmark1
Automation and Control, Department of Electrical Engineering, Technical University of Denmark2
Department of Applied Mathematics and Computer Science, Technical University of Denmark3
Dynamical Systems, Department of Applied Mathematics and Computer Science, Technical University of Denmark4
GEA Process Engineering A/S5
Scientific Computing, Department of Applied Mathematics and Computer Science, Technical University of Denmark6
Center for Energy Resources Engineering, Centers, Technical University of Denmark7
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.
Language: | English |
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Publisher: | IEEE |
Year: | 2019 |
Pages: | 1036-1042 |
Proceedings: | 2019 IEEE Conference on Control Technology and Applications |
ISBN: | 1728127661 , 172812767X , 172812767x , 1728127688 , 9781728127668 , 9781728127675 and 9781728127682 |
Types: | Conference paper |
DOI: | 10.1109/ccta.2019.8920460 |
ORCIDs: | Poulsen, Niels Kjølstad , Jørgensen, John Bagterp and Niemann, Hans Henrik |