DocumentCode
184390
Title
A robust ammonia coverage ratio control method for a two-cell selective catalytic reduction system in low temperature operations
Author
Pingen Chen ; Junmin Wang
Author_Institution
Dept. of Mech. & Aerosp. Eng., Ohio State Univ., Columbus, OH, USA
fYear
2014
fDate
4-6 June 2014
Firstpage
2606
Lastpage
2611
Abstract
The control of Diesel engine selective catalytic reduction (SCR) systems during low temperature operation is of great challenge due to the complicated urea-to-ammonia conversion process. The existing model-based SCR controls may fail to achieve their control objectives in the situation since most of them adopted SCR models with the assumption of complete urea decomposition at the front portion of catalyst. To ensure low tailpipe NOx emissions and ammonia slip, a nonlinear backstepping and nonlinear damping based robust controller was proposed. The control objectives are to maintain a low ammonia loading and a medium ammonia loading in the upstream cell and downstream cell, respectively. Simulation results under the FTP-72 cycle demonstrate high robustness of the proposed controller in regulating the ammonia coverage ratios against the uncertainties from the delayed urea-to-ammonia conversion process. Comparison with a previously reported controller shows the advantage of the robust controller in limiting the tailpipe ammonia slip without significant loss of deNOx capability.
Keywords
ammonia; damping; diesel engines; environmental management; exhaust systems; nonlinear control systems; process control; robust control; FTP-72 cycle; SCR systems; ammonia coverage ratio regulation; ammonia slip; complete urea decomposition; diesel engine selective catalytic reduction systems; downstream cell; low tailpipe nitrogen oxide emissions; low temperature operations; nonlinear backstepping based robust controller; nonlinear damping based robust controller; robust ammonia coverage ratio control method; two-cell selective catalytic reduction system; upstream cell; urea-to-ammonia conversion process; Biological system modeling; Robustness; Temperature control; Temperature measurement; Thyristors; Uncertainty; Automotive;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference (ACC), 2014
Conference_Location
Portland, OR
ISSN
0743-1619
Print_ISBN
978-1-4799-3272-6
Type
conf
DOI
10.1109/ACC.2014.6859079
Filename
6859079
Link To Document