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Modeling and Model Reduction in Automotive Systems

Nilsson, Oskar LU (2006) In Research Reports TFRT-3242
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. This thesis combines the areas of modeling and model reduction in automotive systems. A model of the exhaust gas oxygen sensor, used for air-fuel ratio control in automotive spark ignition engines, is developed and successfully validated. A model reduction case study is also performed 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. This thesis combines the areas of modeling and model reduction in automotive systems. A model of the exhaust gas oxygen sensor, used for air-fuel ratio control in automotive spark ignition engines, is developed and successfully validated. A model reduction case study is also performed 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. Finally, a method for model reduction of nonlinear systems has been derived. 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 and simulation data. (Less)
Please use this url to cite or link to this publication:
author
supervisor
organization
publishing date
type
Thesis
publication status
published
subject
keywords
Automotive systems, Lambda sensor, Model reduction, Modeling, Engine air path
in
Research Reports TFRT-3242
pages
76 pages
publisher
Department of Automatic Control, Lund Institute of Technology, Lund University
ISSN
0280-5316
language
English
LU publication?
yes
id
6f98f0e5-3d0e-4b96-aeb1-835a7dc6f757 (old id 1023094)
date added to LUP
2016-04-01 16:59:33
date last changed
2018-11-21 20:45:46
@misc{6f98f0e5-3d0e-4b96-aeb1-835a7dc6f757,
  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. This thesis combines the areas of modeling and model reduction in automotive systems. A model of the exhaust gas oxygen sensor, used for air-fuel ratio control in automotive spark ignition engines, is developed and successfully validated. A model reduction case study is also performed 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. Finally, a method for model reduction of nonlinear systems has been derived. 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 and simulation data.},
  author       = {Nilsson, Oskar},
  issn         = {0280-5316},
  language     = {eng},
  note         = {Licentiate Thesis},
  publisher    = {Department of Automatic Control, Lund Institute of Technology, Lund University},
  series       = {Research Reports TFRT-3242},
  title        = {Modeling and Model Reduction in Automotive Systems},
  url          = {https://lup.lub.lu.se/search/files/4840270/8840423.pdf},
  year         = {2006},
}