Conference paper · Journal article
State Estimation in the Automotive SCR DeNOx Process
Department of Chemical and Biochemical Engineering, Technical University of Denmark1
CHEC Research Centre, Department of Chemical and Biochemical Engineering, Technical University of Denmark2
Center for Energy Resources Engineering, Centers, Technical University of Denmark3
Department of Informatics and Mathematical Modeling, Technical University of Denmark4
Scientific Computing, Department of Informatics and Mathematical Modeling, Technical University of Denmark5
Haldor Topsoe AS6
Computer Aided Process Engineering Center, Department of Chemical and Biochemical Engineering, Technical University of Denmark7
Selective catalytic reduction (SCR) of nitrogen oxides (NOx) is a widely applied diesel engine exhaust gas after-treatment technology. For effective NOx removal in a transient operating automotive application, controlled dosing of urea can be used to meet the increasingly restrictive legislations on exhaust gas emissions.
For advanced control, e.g. Model Predictive Control (MPC), of the SCR process, accurate state estimates are needed. We investigate the performance of the ordinary and the extended Kalman filters based on a simple first principle system model. The performance is tested through a series of simulation studies reflecting realistic challenges such as under-modelling and few gas composition sensors.
| Language: | English |
|---|---|
| Year: | 2012 |
| Pages: | 501-506 |
| Proceedings: | 8th IFAC Symposium on Advanced Control of Chemical Processes |
| ISBN: | 3902823054 and 9783902823052 |
| ISSN: | 14746670 |
| Types: | Conference paper and Journal article |
| DOI: | 10.3182/20120710-4-SG-2026.00133 |
| ORCIDs: | Jørgensen, John Bagterp and Huusom, Jakob Kjøbsted |
