Integration of SysML and Simulation Models for Mechatronic Systems

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Abstract

Each engineering domain, such as mechanical, electrical, hydraulic and software engineering has developed specialized tools to support its engineering work. Also for the management of the design process a lot of customized tools are used. Most of them have independent programming interfaces making the coupling error prone and resource intensive. In order to better manage the overall system's aspects - what is essential for a well-founded mechatronic approach - appropriate models and corresponding tools for system description and simulation are necessary. All systematic development processes, i.e. conceptual design, detail design and common product refinement process, have to focus on the functional requirements and constraints of the overall system under consideration. Describing and maintaining this structure and all the associated data and documenting its relations with the virtual or real experiments is very helpful for a systematic and reliable development process. This paper analyses the use of SysML as a system description language as well as a modeling and simulation language for the aspects of "System Requirements", "System Behavior", and "System Structure" and their interdependence.
Original languageEnglish
Title of host publicationComputer Aided Systems Theory - EUROCAST 2011 - Revised Selected Papers, Part II
Editors R. Moreno-Díaz, F. Pichler and A. Quesada-Arencibia
Place of PublicationBerlin Heidelberg
PublisherSpringer
Pages89-96
Number of pages8
ISBN (Print)978-3-642-27578-4
DOIs
Publication statusPublished - 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume6928 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Fields of science

  • 203013 Mechanical engineering
  • 203 Mechanical Engineering
  • 203015 Mechatronics
  • 102009 Computer simulation

JKU Focus areas

  • Mechatronics and Information Processing

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