Multiple-Input Multiple-Output Model Predictive Control of a Diesel Engine
(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.
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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
- 2024-04-02 00:21:14
@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}}, }