Nonlinear model predictive control applied to multivariable thermal and chemical control of selective catalytic reduction aftertreatment

Jonathan Sowman, Dina Shona Laila, Peter Fussey, Anthony Truscott, Andrew Cruden

Research output: Contribution to journalArticle

1 Citation (Scopus)
15 Downloads (Pure)

Abstract

Manufacturers of diesel engines are under increasing pressure to meet progressively stricter NO x emission limits. A key NO x abatement technology is selective catalytic reduction in which ammonia, aided by a catalyst, reacts with NO x in the exhaust stream to produce nitrogen and water. The conversion efficiency is temperature dependent: at low temperature, reaction rates are temperature limited, resulting in suboptimal NO x removal, whereas at high temperatures, they are mass transfer limited. Maintaining sufficiently high temperature to allow maximal conversion is a challenge, particularly after cold start, as well as during conditions in which exhaust heat is insufficient, such as periods of low load or idling. In this work, a nonlinear model predictive controller simultaneously manages urea injection and power to an electric catalyst heater, in the presence of constraints.

Original languageEnglish
Pages (from-to)1017-1024
Number of pages8
JournalInternational Journal of Engine Research
Volume20
Issue number10
Early online date26 Jun 2019
DOIs
Publication statusE-pub ahead of print - 26 Jun 2019

Fingerprint

Selective catalytic reduction
Model predictive control
Temperature
Catalysts
Urea
Conversion efficiency
Reaction rates
Diesel engines
Ammonia
Mass transfer
Hot Temperature
Nitrogen
Controllers
Water

Keywords

  • Model predictive control
  • diesel aftertreatment controls
  • selective catalytic reduction

ASJC Scopus subject areas

  • Automotive Engineering
  • Aerospace Engineering
  • Ocean Engineering
  • Mechanical Engineering

Cite this

Nonlinear model predictive control applied to multivariable thermal and chemical control of selective catalytic reduction aftertreatment. / Sowman, Jonathan; Laila, Dina Shona; Fussey, Peter; Truscott, Anthony; Cruden, Andrew.

In: International Journal of Engine Research, Vol. 20, No. 10, 01.12.2019, p. 1017-1024.

Research output: Contribution to journalArticle

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