Multiple-Input Multiple-Output Model Predictive Control of a Diesel Engine
Henningsson, Maria LU ; Ekholm, Kent LU ; Strandh, Petter LU and Johansson, Rolf LU
(2010)
In IFAC Proceedings Volumes (IFAC-PapersOnline)
43(7).
p.131-136
- Abstract
- Traditionally, diesel engine control has had to rely on indirect feedback variables and empirical open-loop maps because direct measurements of the variables representing high-level objectives, such as emissions, have not been available in production engines. With new sensors being developed, the opportunity opens to design the controller directly based on high-level objectives. In this paper, we propose to use model predictive control as a systematic way to go directly from high-level specifications to a control algorithm. The controller uses four actuator variables and five measured variables and is based on a model obtained through system identification. Experimental results on a six-cylinder heavy-duty engine around a fixed operating... (More)
- Traditionally, diesel engine control has had to rely on indirect feedback variables and empirical open-loop maps because direct measurements of the variables representing high-level objectives, such as emissions, have not been available in production engines. With new sensors being developed, the opportunity opens to design the controller directly based on high-level objectives. In this paper, we propose to use model predictive control as a systematic way to go directly from high-level specifications to a control algorithm. The controller uses four actuator variables and five measured variables and is based on a model obtained through system identification. Experimental results on a six-cylinder heavy-duty engine around a fixed operating point demonstrate the potential of the control scheme.
(Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1759177
- author
- Henningsson, Maria
LU
; Ekholm, Kent
LU
; Strandh, Petter
LU
and Johansson, Rolf
LU
- organization
- publishing date
- 2010
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- MPC, MIMO, Diesel Engine
- in
- IFAC Proceedings Volumes (IFAC-PapersOnline)
- volume
- 43
- issue
- 7
- pages
- 6 pages
- publisher
- IFAC Secretariat
- external identifiers
-
- scopus:80051865315
- ISSN
- 2405-8963
- DOI
- 10.3182/20100712-3-DE-2013.00003
- project
- Diesel HCCI in a Multi-Cylinder Engine
- language
- English
- LU publication?
- yes
- id
- 53a856ff-e76f-41f4-a20a-a1212e584911 (old id 1759177)
- date added to LUP
- 2016-04-04 13:32:40
- date last changed
- 2023-04-09 09:11:33
@article{53a856ff-e76f-41f4-a20a-a1212e584911,
abstract = {{Traditionally, diesel engine control has had to rely on indirect feedback variables and empirical open-loop maps because direct measurements of the variables representing high-level objectives, such as emissions, have not been available in production engines. With new sensors being developed, the opportunity opens to design the controller directly based on high-level objectives. In this paper, we propose to use model predictive control as a systematic way to go directly from high-level specifications to a control algorithm. The controller uses four actuator variables and five measured variables and is based on a model obtained through system identification. Experimental results on a six-cylinder heavy-duty engine around a fixed operating point demonstrate the potential of the control scheme.<br/>}},
author = {{Henningsson, Maria and Ekholm, Kent and Strandh, Petter and Johansson, Rolf}},
issn = {{2405-8963}},
keywords = {{MPC; MIMO; Diesel Engine}},
language = {{eng}},
number = {{7}},
pages = {{131--136}},
publisher = {{IFAC Secretariat}},
series = {{IFAC Proceedings Volumes (IFAC-PapersOnline)}},
title = {{Multiple-Input Multiple-Output Model Predictive Control of a Diesel Engine}},
url = {{http://dx.doi.org/10.3182/20100712-3-DE-2013.00003}},
doi = {{10.3182/20100712-3-DE-2013.00003}},
volume = {{43}},
year = {{2010}},
}