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

Forskningsoutput: Kapitel i bok/rapport/Conference proceedingKonferenspaper i proceeding

Bibtex

@inproceedings{3f87b9753aa74664981f424d1baca2fe,
title = "Control Design Based on FMI: A Diesel Engine Control Case Study",
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 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 = "Anders Nyl{\'e}n and Maria Henningsson and Anton Cervin and Per Tunest{\aa}l",
year = "2016",
month = "6",
day = "20",
doi = "10.1016/j.ifacol.2016.08.035",
language = "English",
series = "IFAC-PapersOnLine",
publisher = "IFAC",
number = "11",
pages = "231–238",
editor = "Per Tunest{\aa}l and Lars Eriksson",
booktitle = "8th IFAC Symposium on Advances in Automotive Control AAC 2016",

}