A novel nonlinear model reduction method applied to automotive controller software
(2009) American Control Conference 2009 p.4587-4592- Abstract
- The automotive industry is experiencing tightening emission legislations together with high demands on performance and driveability. As a counteraction, controller software tends to become more and more complex. Intricate controller software has several downsides, the large number of controller parameters yields an exhaustive calibration task, often performed through costly experiments. In addition, to guarantee reliability, validation and verification analysis is performed on the controller in combination with the engine. This task would also greatly benefit from a less complex controller structure. Here a novel model reduction method of nonlinear discrete-time systems is introduced and applied to an engine controller used in current... (More)
- The automotive industry is experiencing tightening emission legislations together with high demands on performance and driveability. As a counteraction, controller software tends to become more and more complex. Intricate controller software has several downsides, the large number of controller parameters yields an exhaustive calibration task, often performed through costly experiments. In addition, to guarantee reliability, validation and verification analysis is performed on the controller in combination with the engine. This task would also greatly benefit from a less complex controller structure. Here a novel model reduction method of nonlinear discrete-time systems is introduced and applied to an engine controller used in current production cars. The result is a nonlinear piece-wise affine system with improved simulation speed. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1490244
- author
- Nilsson, Oskar LU and Rantzer, Anders LU
- organization
- publishing date
- 2009
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- 2009 American Control Conference, Vols 1-9
- pages
- 4587 - 4592
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- American Control Conference 2009
- conference location
- St Louis, MO, United States
- conference dates
- 2009-06-10 - 2009-06-12
- external identifiers
-
- wos:000270044902102
- scopus:70449714147
- ISSN
- 0743-1619
- language
- English
- LU publication?
- yes
- id
- 650a1828-658e-4469-8d0a-c7ae8400f9bb (old id 1490244)
- date added to LUP
- 2016-04-01 14:44:52
- date last changed
- 2024-01-10 08:05:52
@inproceedings{650a1828-658e-4469-8d0a-c7ae8400f9bb, abstract = {{The automotive industry is experiencing tightening emission legislations together with high demands on performance and driveability. As a counteraction, controller software tends to become more and more complex. Intricate controller software has several downsides, the large number of controller parameters yields an exhaustive calibration task, often performed through costly experiments. In addition, to guarantee reliability, validation and verification analysis is performed on the controller in combination with the engine. This task would also greatly benefit from a less complex controller structure. Here a novel model reduction method of nonlinear discrete-time systems is introduced and applied to an engine controller used in current production cars. The result is a nonlinear piece-wise affine system with improved simulation speed.}}, author = {{Nilsson, Oskar and Rantzer, Anders}}, booktitle = {{2009 American Control Conference, Vols 1-9}}, issn = {{0743-1619}}, language = {{eng}}, pages = {{4587--4592}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, title = {{A novel nonlinear model reduction method applied to automotive controller software}}, year = {{2009}}, }