Model Predictive Control of Partially Premixed Combustion
(2010) In Lecture Notes in Control and Information Sciences 402. p.171-181- Abstract
- Partially premixed combustion is a compression ignited combustion strategy where high exhaust gas recirculation (EGR) levels in combination with early or late injection timing result in a prolonged ignition delay yielding a more premixed charge than with conventional diesel combustion. With this concept it is possible to get low smoke and NOx emissions simultaneously. Accurate control of injection timing and injection duration is however necessary in order to achieve this favorable mode of combustion. This chapter presents a method for controlled PPC operation. The approach is to control the time between end of injection and start of combustion which if positive yields sufficient premixing. Model Predictive Control was used to control the... (More)
- Partially premixed combustion is a compression ignited combustion strategy where high exhaust gas recirculation (EGR) levels in combination with early or late injection timing result in a prolonged ignition delay yielding a more premixed charge than with conventional diesel combustion. With this concept it is possible to get low smoke and NOx emissions simultaneously. Accurate control of injection timing and injection duration is however necessary in order to achieve this favorable mode of combustion. This chapter presents a method for controlled PPC operation. The approach is to control the time between end of injection and start of combustion which if positive yields sufficient premixing. Model Predictive Control was used to control the engine which was modeled using System Identification. The results show that it is possible to assure PPC operation in the presence of both speed/load transients and EGR disturbances. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/9bb133a6-5f6c-49b7-9ead-878120bd5de9
- author
- Tunestål, Per LU and Lewander, Magnus LU
- organization
- publishing date
- 2010
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- Automotive Model Predictive Control
- series title
- Lecture Notes in Control and Information Sciences
- editor
- del Re, Luigi ; Allgöwer, Frank ; Glielmo, Luigi and Kolmanovsky, Ilya
- volume
- 402
- pages
- 11 pages
- publisher
- Springer
- external identifiers
-
- scopus:77950224193
- ISBN
- 978-1-84996-071-7
- 978-1-84996-070-0
- language
- English
- LU publication?
- yes
- id
- 9bb133a6-5f6c-49b7-9ead-878120bd5de9
- date added to LUP
- 2017-12-11 14:52:57
- date last changed
- 2025-01-08 02:58:09
@inbook{9bb133a6-5f6c-49b7-9ead-878120bd5de9, abstract = {{Partially premixed combustion is a compression ignited combustion strategy where high exhaust gas recirculation (EGR) levels in combination with early or late injection timing result in a prolonged ignition delay yielding a more premixed charge than with conventional diesel combustion. With this concept it is possible to get low smoke and NOx emissions simultaneously. Accurate control of injection timing and injection duration is however necessary in order to achieve this favorable mode of combustion. This chapter presents a method for controlled PPC operation. The approach is to control the time between end of injection and start of combustion which if positive yields sufficient premixing. Model Predictive Control was used to control the engine which was modeled using System Identification. The results show that it is possible to assure PPC operation in the presence of both speed/load transients and EGR disturbances.}}, author = {{Tunestål, Per and Lewander, Magnus}}, booktitle = {{Automotive Model Predictive Control}}, editor = {{del Re, Luigi and Allgöwer, Frank and Glielmo, Luigi and Kolmanovsky, Ilya}}, isbn = {{978-1-84996-071-7}}, language = {{eng}}, pages = {{171--181}}, publisher = {{Springer}}, series = {{Lecture Notes in Control and Information Sciences}}, title = {{Model Predictive Control of Partially Premixed Combustion}}, volume = {{402}}, year = {{2010}}, }