Title :
An extended Kalman filter for NOx sensor ammonia cross-sensitivity elimination in selective catalytic reduction applications
Author :
Ming Feng Hsieh ; Junmin Wang
Author_Institution :
Dept. of Mech. Eng., Ohio State Univ., Columbus, OH, USA
fDate :
June 30 2010-July 2 2010
Abstract :
Vehicle NOx emission regulations are becoming more and more stringent worldwide. A selective catalytic reduction (SCR) system which uses ammonia as the reductant to reduce tailpipe NOx emissions is widely adopted by Diesel engine applications. For SCR control, a NOx sensor is commonly used to monitor the emissions, however it has been discovered that NOx sensors typically are cross-sensitive to the presence of ammonia. Such a feature becomes a critical problem as ammonia slip can be present downstream of a SCR catalyst where the NOx sensor is located. To address this issue, an extended Kalman filter (EKF) is designed in this paper to estimate the actual exhaust gas NOx concentration and the cross-sensitive factor such that the cross-sensitivity error can be eliminated.
Keywords :
Kalman filters; air pollution control; chemical sensors; NOx sensor ammonia cross sensitivity elimination; SCR catalyst; cross sensitivity error; diesel engine application; extended Kalman filter; selective catalytic reduction system; tailpipe NOx emission; vehicle NOx emission regulation; Diesel engines; Energy consumption; Equations; Feedback control; Mechanical engineering; Mechanical sensors; Monitoring; Nitrogen; Thyristors; Vehicles;
Conference_Titel :
American Control Conference (ACC), 2010
Conference_Location :
Baltimore, MD
Print_ISBN :
978-1-4244-7426-4
DOI :
10.1109/ACC.2010.5531217