DocumentCode
185077
Title
Application of NMPC on optimization of ammonia coverage ratio references in two-can diesel SCR systems
Author
Hui Zhang ; Junmin Wang ; Yue-Yun Wang
Author_Institution
Dept. of Mech. & Aerosp. Eng., Ohio State Columbus, Columbus, OH, USA
fYear
2014
fDate
4-6 June 2014
Firstpage
220
Lastpage
225
Abstract
This paper presents a cycle-based ammonia coverage ratio optimization for Diesel engine two-can selective catalyst reduction (SCR) systems. For a high NOx conversion, it is intuitively required that the ammonia coverage ratio for the first catalyst can is as high as possible. However, a high ammonia coverage ratio would increase the ammonia slip downstream. In order to constrain the ammonia slip downstream, it is expected that the ammonia coverage ratio for the second catalyst can is as low as possible. The low ammonia coverage ratio whereas may not help for the NOx reduction in the second can. Due to the conflict in the ammonia coverage ratios for these two catalyst cans, it is quite interesting and meaningful to study the optimization problem for the ammonia coverage ratios. With the developed system models, we propose a nonlinear model predictive control (NMPC) method to address this optimization problem. Various cases are studies to investigate the effects of the initial values on the ammonia coverage ratios.
Keywords
ammonia; catalysts; diesel engines; nonlinear control systems; optimisation; predictive control; NMPC method; ammonia coverage ratio references; ammonia slip downstream; catalyst cans; cycle-based ammonia coverage ratio optimization; diesel SCR systems; diesel engine; nonlinear model predictive control; optimization problem; selective catalyst reduction; Chemicals; Cost function; Heuristic algorithms; Sensors; Substrates; Thyristors; Automotive; Linear parameter-varying systems; Mechatronics;
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.2014.6859454
Filename
6859454
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