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Control Design Based on FMI: A Diesel Engine Control Case Study

Nylén, Anders; Henningsson, Maria; Cervin, Anton LU and Tunestål, Per LU (2016) 8th IFAC Symposium Advances in Automotive Control, AAC 2016
Abstract
Modelica allows systems to be described with reuseable components and with a high precision. To be able to use such complex models efficiently, high demands are set on tools that allow the user to extract the information needed from the models in a straight-forward manner. For this purpose, design-of-experiments techniques can be used to systematically analyze the complex models.
In this paper, it is demonstrated how a Modelica model of a diesel engine can be used for control design. The engine model has multiple inputs and outputs, it is nonlinear, has many parameters, and has a higher order than most control design algorithms are able to handle in a numerically robust way.

It is shown how the features for dynamic... (More)
Modelica allows systems to be described with reuseable components and with a high precision. To be able to use such complex models efficiently, high demands are set on tools that allow the user to extract the information needed from the models in a straight-forward manner. For this purpose, design-of-experiments techniques can be used to systematically analyze the complex models.
In this paper, it is demonstrated how a Modelica model of a diesel engine can be used for control design. The engine model has multiple inputs and outputs, it is nonlinear, has many parameters, and has a higher order than most control design algorithms are able to handle in a numerically robust way.

It is shown how the features for dynamic design-of-experiments analysis in the FMI Toolbox for MATLAB can be used to analyze the variation in system dynamics across the engine operating range. A gain scheduling of nine multivariable linear-quadratic-gaussian (LQG) controllers, is designed based on linearization and model reduction of the original nonlinear FMU model. (Less)
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author
organization
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type
Contribution to conference
publication status
published
subject
conference name
8th IFAC Symposium Advances in Automotive Control, AAC 2016
external identifiers
  • Scopus:84991111410
language
English
LU publication?
yes
id
3f87b975-3aa7-4664-981f-424d1baca2fe
date added to LUP
2016-08-16 09:27:09
date last changed
2016-11-20 04:35:07
@misc{3f87b975-3aa7-4664-981f-424d1baca2fe,
  abstract     = {Modelica allows systems to be described with reuseable components and with a high precision. To be able to use such complex models efficiently, high demands are set on tools that allow the user to extract the information needed from the models in a straight-forward manner. For this purpose, design-of-experiments techniques can be used to systematically analyze the complex models.<br/>In this paper, it is demonstrated how a Modelica model of a diesel engine can be used for control design. The engine model has multiple inputs and outputs, it is nonlinear, has many parameters, and has a higher order than most control design algorithms are able to handle in a numerically robust way.<br/><br/>It is shown how the features for dynamic design-of-experiments analysis in the FMI Toolbox for MATLAB can be used to analyze the variation in system dynamics across the engine operating range. A gain scheduling of nine multivariable linear-quadratic-gaussian (LQG) controllers, is designed based on linearization and model reduction of the original nonlinear FMU model.},
  author       = {Nylén, Anders and Henningsson, Maria and Cervin, Anton and Tunestål, Per},
  language     = {eng},
  month        = {06},
  title        = {Control Design Based on FMI: A Diesel Engine Control Case Study},
  year         = {2016},
}