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A novel nonlinear model reduction method applied to automotive controller software

Nilsson, Oskar LU and Rantzer, Anders LU (2009) American Control Conference 2009 In 2009 American Control Conference, Vols 1-9 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:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
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
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
2009-10-19 15:17:56
date last changed
2017-01-01 06:24:59
@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},
}