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

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

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.

Detaljer

Författare
Enheter & grupper
Externa organisationer
  • Modelon AB
  • Lund University
Forskningsområden

Ämnesklassifikation (UKÄ) – OBLIGATORISK

  • Reglerteknik
Originalspråkengelska
Titel på värdpublikation8th IFAC Symposium on Advances in Automotive Control AAC 2016
RedaktörerPer Tunestål, Lars Eriksson
FörlagIFAC
Sidor231–238
StatusPublished - 2016 jun 20
PublikationskategoriForskning
Peer review utfördJa
Evenemang8th IFAC Symposium Advances in Automotive Control, AAC 2016 - Kolmården Wildlife Resort, Sverige
Varaktighet: 2016 jun 202016 jun 23
http://aac2016.isy.liu.se

Publikationsserier

Namn IFAC-PapersOnLine
Nummer11
Volym49

Konferens

Konferens8th IFAC Symposium Advances in Automotive Control, AAC 2016
LandSverige
Period2016/06/202016/06/23
Internetadress

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