State Estimation in the Automotive SCR DeNOx Process

Guofeng Zhou; John Bagterp Jørgensen; Christophe Duwig; Jakob Kjøbsted Huusom

doi:10.3182/20120710-4-SG-2026.00133

State Estimation in the Automotive SCR DeNOx Process

Guofeng Zhou, John Bagterp Jørgensen, Christophe Duwig, Jakob Kjøbsted Huusom

Haldor Topsoe AS

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

Selective catalytic reduction (SCR) of nitrogen oxides (NO_x) is a widely applied diesel engine exhaust gas after-treatment technology. For effective NO_x 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.

Original language	English
Title of host publication	Proceedings of 8th IFAC Symposium on Advanced Control of Chemical Processes
Publication date	2012
Pages	501-506
ISBN (Print)	9783902823052
DOIs	https://doi.org/10.3182/20120710-4-SG-2026.00133
Publication status	Published - 2012
Event	8th IFAC Symposium on Advanced Control of Chemical Processes - Singapore, Singapore Duration: 10 Jul 2012 → 13 Jul 2012

Conference

Conference	8th IFAC Symposium on Advanced Control of Chemical Processes
Country/Territory	Singapore
City	Singapore
Period	10/07/2012 → 13/07/2012

Keywords

State Estimation
Kalman Filtering
Nonlinear processes
SCR process

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10.3182/20120710-4-SG-2026.00133

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title = "State Estimation in the Automotive SCR DeNOx Process",

abstract = "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.",

keywords = "State Estimation, Kalman Filtering, Nonlinear processes, SCR process",

author = "Guofeng Zhou and J{\o}rgensen, {John Bagterp} and Christophe Duwig and Huusom, {Jakob Kj{\o}bsted}",

year = "2012",

doi = "10.3182/20120710-4-SG-2026.00133",

language = "English",

isbn = "9783902823052",

pages = "501--506",

booktitle = "Proceedings of 8th IFAC Symposium on Advanced Control of Chemical Processes",

note = "8th IFAC Symposium on Advanced Control of Chemical Processes, ADCHEM 2012 ; Conference date: 10-07-2012 Through 13-07-2012",

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T1 - State Estimation in the Automotive SCR DeNOx Process

AU - Zhou, Guofeng

AU - Jørgensen, John Bagterp

AU - Duwig, Christophe

AU - Huusom, Jakob Kjøbsted

PY - 2012

Y1 - 2012

N2 - 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.

AB - 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.

KW - State Estimation

KW - Kalman Filtering

KW - Nonlinear processes

KW - SCR process

U2 - 10.3182/20120710-4-SG-2026.00133

DO - 10.3182/20120710-4-SG-2026.00133

M3 - Article in proceedings

SN - 9783902823052

SP - 501

EP - 506

BT - Proceedings of 8th IFAC Symposium on Advanced Control of Chemical Processes

T2 - 8th IFAC Symposium on Advanced Control of Chemical Processes

Y2 - 10 July 2012 through 13 July 2012

ER -

State Estimation in the Automotive SCR DeNOx Process

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Keywords

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