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Reliable Reference Determination for Diesel Engine Emission Control

  • Harald Siegfried Waschl
  • , Daniel Alberer
  • , A. Kerschbaummayr
  • , Luigi Del Re

Research output: Chapter in Book/Report/Conference proceedingConference proceedingspeer-review

Abstract

To meet the current and upcoming emission legislation, engine air system control is a crucial aspect. To this end different approaches from SISO control in combination with feedforward structures up to advanced MIMO strategies are proposed in the literature. However, for each control strategy a reference quantity is necessary. Although it seems sensible to directly use the exhaust emission concentrations in a closed loop control, unfortunately a fast and accurate online measurement is seldom available. A typical approach to circumvent this issue is to use auxiliary quantities like fresh air mass flow, whereas the according reference values for these quantities are obtained during engine development. This paper presents a different approach where not only one but a combination of different candidates is used to define an optimal reference for the EGR valve control. The target for the overall control is to maintain a constant nitric oxides (NOx) level during steady state operation without explicit NOx measurement. Furthermore, a scheduling method is proposed to take into account the expected errors on the sensor signals depending on the current operating region. Finally the control was applied on a mean value engine simulation model and showed satisfactory results.
Original languageEnglish
Title of host publicationProceedings of the American Control Conference 2012
Pages4215-4220
Number of pages6
DOIs
Publication statusPublished - 2012

Publication series

NameProceedings of the American Control Conference
ISSN (Print)0743-1619

Fields of science

  • 203 Mechanical Engineering
  • 202034 Control engineering
  • 202012 Electrical measurement technology
  • 206 Medical Engineering
  • 202027 Mechatronics
  • 202003 Automation
  • 203027 Internal combustion engines
  • 207109 Pollutant emission

JKU Focus areas

  • Mechatronics and Information Processing

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