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On Modeling and Nonlinear Model Reduction in Automotive Systems

Nilsson, Oskar LU (2009) In PhD Theses TFRT-1085.
Abstract
The current control design development process in automotive industry

and elsewhere involves many expensive experiments and hand-tuning of

control parameters. Model based control design is a promising approach to

reduce costs and development time. In this process low complexity models

are essential and model reduction methods are very useful tools.



This thesis combines the areas of modeling and model reduction with

applications in automotive systems. A model reduction case study is per-

formed on an engine air path. The heuristic method commonly used when

modeling engine dynamics is compared with a more systematic approach

based on the balanced... (More)
The current control design development process in automotive industry

and elsewhere involves many expensive experiments and hand-tuning of

control parameters. Model based control design is a promising approach to

reduce costs and development time. In this process low complexity models

are essential and model reduction methods are very useful tools.



This thesis combines the areas of modeling and model reduction with

applications in automotive systems. A model reduction case study is per-

formed on an engine air path. The heuristic method commonly used when

modeling engine dynamics is compared with a more systematic approach

based on the balanced truncation method.



The main contribution of this thesis is a method for model reduction

of nonlinear systems. The procedure is focused on reducing the number

of states using information obtained by linearization around trajectories.

The methodology is closely tied to existing theory on error bounds and

good results are shown in form of examples such as a controller used in

real-world cars.



Also, a model of the exhaust gas oxygen sensor, used for air-fuel ratio

control in automotive spark-ignition engines, is developed and successfully

validated. (Less)
Please use this url to cite or link to this publication:
author
supervisor
opponent
  • Professor Scherpen, Jacquelien, Faculty of Mathematics and Natural Sciences, University of Groningen, the Netherlands
organization
publishing date
type
Thesis
publication status
published
subject
keywords
nonlinear systems, model reduction, discrete-time, continuous-time
in
PhD Theses
volume
TFRT-1085
pages
101 pages
publisher
Department of Automatic Control, Lund Institute of Technology, Lund University
defense location
Lundmarksalen, Astronomihuset, Sölvegatan 27, Lund University, Faculty of Engineering
defense date
2009-03-06 10:15
ISSN
0280-5316
language
English
LU publication?
yes
id
3738ce58-0ff4-4e29-b0ef-41c41be6a397 (old id 1292877)
date added to LUP
2009-02-09 13:45:23
date last changed
2016-09-19 08:44:50
@phdthesis{3738ce58-0ff4-4e29-b0ef-41c41be6a397,
  abstract     = {The current control design development process in automotive industry<br/><br>
and elsewhere involves many expensive experiments and hand-tuning of<br/><br>
control parameters. Model based control design is a promising approach to<br/><br>
reduce costs and development time. In this process low complexity models<br/><br>
are essential and model reduction methods are very useful tools.<br/><br>
<br/><br>
This thesis combines the areas of modeling and model reduction with<br/><br>
applications in automotive systems. A model reduction case study is per-<br/><br>
formed on an engine air path. The heuristic method commonly used when<br/><br>
modeling engine dynamics is compared with a more systematic approach<br/><br>
based on the balanced truncation method.<br/><br>
<br/><br>
The main contribution of this thesis is a method for model reduction<br/><br>
of nonlinear systems. The procedure is focused on reducing the number<br/><br>
of states using information obtained by linearization around trajectories.<br/><br>
The methodology is closely tied to existing theory on error bounds and<br/><br>
good results are shown in form of examples such as a controller used in<br/><br>
real-world cars.<br/><br>
<br/><br>
Also, a model of the exhaust gas oxygen sensor, used for air-fuel ratio<br/><br>
control in automotive spark-ignition engines, is developed and successfully<br/><br>
validated.},
  author       = {Nilsson, Oskar},
  issn         = {0280-5316},
  keyword      = {nonlinear systems,model reduction,discrete-time,continuous-time},
  language     = {eng},
  pages        = {101},
  publisher    = {Department of Automatic Control, Lund Institute of Technology, Lund University},
  school       = {Lund University},
  series       = {PhD Theses},
  title        = {On Modeling and Nonlinear Model Reduction in Automotive Systems},
  volume       = {TFRT-1085},
  year         = {2009},
}