• DocumentCode
    728046
  • Title

    Nonlinear Disturbance Observer design for estimation of ammonia storage ratio in selected catalytic reduction systems

  • Author

    Jinbiao Ning ; Fengjun Yan

  • Author_Institution
    McMaster Univ., Hamilton, ON, Canada
  • fYear
    2015
  • fDate
    1-3 July 2015
  • Firstpage
    495
  • Lastpage
    500
  • Abstract
    Urea based selected catalytic reduction (SCR) system is a promising devise to achieve high NOx reduction and widely used in diesel engine after-treatment systems. The ammonia storage ratio is critical in SCR feedback control for high NOx reduction and low ammonia slip. However, it cannot be directly measured by production sensors. To effectively estimate the ammonia storage ratio on line and reduce the cost by using exhaust gas sensors, a cost-effective Nonlinear Disturbance Observer (NDO) was designed based on part of the three-state SCR model by using NOx sensors only. In this approach, the ammonia storage ratio is treated as an external disturbance and estimated. The stability of the estimation was also analyzed in the paper. The simulation results based on the full-vehicle simulation of FTP-75 test show that the NDO can effectively estimate the ammonia storage ratio when NOx sensor with/without measurement noise or ammonia cross-sensitivity.
  • Keywords
    air pollution control; ammonia; chemical engineering; diesel engines; exhaust systems; gas sensors; observers; reduction (chemical); SCR feedback control; SCR system; ammonia storage ratio; cost-effective nonlinear disturbance observer; diesel engine after-treatment systems; exhaust gas sensors; full-vehicle simulation; high NOx reduction; low ammonia slip; nonlinear disturbance observer design; production sensors; selected catalytic reduction systems; urea based selected catalytic reduction; Mathematical model; Noise; Observers; Sensor systems; Thyristors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2015
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    978-1-4799-8685-9
  • Type

    conf

  • DOI
    10.1109/ACC.2015.7170784
  • Filename
    7170784