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Adaptive feedforward control of exhaust recirculation in large diesel engines
MAN Diesel and Turbo, Denmark; Technical University of Denmark, Denmark.
Technical University of Denmark, Denmark; Norwegian University of Science and Technology, Norway.
Linköping University, Department of Electrical Engineering, Vehicular Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0001-8646-8998
MAN Diesel and Turbo, Denmark.
2017 (English)In: Control Engineering Practice, ISSN 0967-0661, E-ISSN 1873-6939, Vol. 65, p. 26-35Article in journal (Refereed) Published
Abstract [en]

Environmental concern has led the International Maritime Organization to restrict NOx emissions from marine diesel engines. Exhaust gas recirculation (EGR) systems have been introduced in order to comply to the new standards. Traditional fixed-gain feedback methods are not able to control the EGR system adequately in engine loading transients so alternative methods are needed. This paper presents the design, convergence proofs and experimental validation of an adaptive feedforward controller that significantly improves the performance in loading transients. First the control concept is generalized to a class of first order Hammerstein systems with sensor delay and exponentially converging bounds of the control error are proven analytically. It is then shown how to apply the method to the EGR system of a two-stroke crosshead diesel engine. The controller is validated by closed loop simulation with a mean-value engine model, on an engine test bed and on a vessel operating at sea. A significant reduction of smoke formation during loading transients is observed both visually and with an opacity sensor. (C) 2017 Elsevier Ltd. All rights reserved.

Place, publisher, year, edition, pages
PERGAMON-ELSEVIER SCIENCE LTD , 2017. Vol. 65, p. 26-35
Keywords [en]
Exhaust gas recirculation; EGR; Diesel engines; Feedforward control; Adaptive control
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-139525DOI: 10.1016/j.conengprac.2017.05.003ISI: 000405766100003OAI: oai:DiVA.org:liu-139525DiVA, id: diva2:1130182
Note

Funding Agencies|Danish Agency for Science, Technology and Innovation [1355-00071B]

Available from: 2017-08-08 Created: 2017-08-08 Last updated: 2018-01-30

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
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  • Other locale
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Output format
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