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Balanced Models in Modelica 3.0 for Increased Model Quality

Olsson, Hans and Otter, Martin and Mattsson, Sven Erik and Elmqvist, Hilding (2008) Balanced Models in Modelica 3.0 for Increased Model Quality. In: Conference Proceedings, pp. 21-33. 6th International Modelica Conference, 2008-03-03 - 2008-03-04, Bielefeld.

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Abstract

A Modelica model can only be simulated, if the number of unknowns and the number of equations are equal. In Modelica 3.0, restrictions have been introduced into the language, in order that every model must be “locally balanced”, which means that the number of unknowns and equations must match on every hierarchical level. It is then sufficient to check every model locally only once, e.g., all models in a library. Using these models (instantiating and connecting them, redeclaring replaceable models etc.) will then lead to a model where the total number of unknowns and equations are equal. Besides this strong guarantee, it is possible to precisely pinpoint which submodels have too many equations or lack equations in case of error. This paper gives the rationale behind the Modelica 3.0 design choices including proofs of the new guarantees, and discusses the limitations of this approach.

Document Type:Conference or Workshop Item (Speech, Paper)
Title:Balanced Models in Modelica 3.0 for Increased Model Quality
Authors:
AuthorsInstitution or Email of Authors
Olsson, HansDynasim AB
Otter, MartinUNSPECIFIED
Mattsson, Sven ErikDynasim AB
Elmqvist, HildingDynasim AB
Date:2008
Journal or Publication Title:Conference Proceedings
Refereed publication:Yes
In ISI Web of Science:No
Page Range:pp. 21-33
Status:Published
Keywords:Modelica
Event Title:6th International Modelica Conference
Event Location:Bielefeld
Event Type:international Conference
Event Dates:2008-03-03 - 2008-03-04
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Transport System
DLR - Research area:Transport
DLR - Program:V VS - Verkehrssystem
DLR - Research theme (Project):V - VECTOR21 (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Robotics and Mechatronics > System Dynamics and Control (former Control Design Engineering)
Deposited By: Monika Klauer
Deposited On:03 Nov 2008
Last Modified:12 Dec 2013 20:33

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