• 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