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Architecture for Integrated Development of Complex Systems With Model-Based System Specification and Simulation

[+] Author Affiliations
Jürgen Roßmann, Michael Schluse, Malte Rast, Martin Hoppen

RWTH Aachen University, Aachen, Germany

Roman Dumitrescu, Christian Bremer, Michael Hillebrand

Fraunhofer Institute for Production Technology, Paderborn, Germany

Oliver Stern, Florian Blümel

RIF e.V. Institute for Research and Transfer, Dortmund, Germany

Christoph Averdung

CPA Redev GmbH, Siegburg, Germany

Paper No. DETC2015-46312, pp. V01BT02A053; 9 pages
doi:10.1115/DETC2015-46312
From:
  • ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 1B: 35th Computers and Information in Engineering Conference
  • Boston, Massachusetts, USA, August 2–5, 2015
  • Conference Sponsors: Design Engineering Division, Computers and Information in Engineering Division
  • ISBN: 978-0-7918-5705-2
  • Copyright © 2015 by ASME

abstract

R&D projects in space robotics are characterized by the profound integration of various disciplines and the associated complexity of the systems to be designed. To support this multidisciplinary collaboration, the paradigm of Model-Based Systems Engineering (MBSE) is a suitable approach. Another essential challenge of space projects is the early verification and validation of the model-based design. Tests with physical prototypes give rise to considerable costs and can reproduce the real conditions only to a certain extent.

In this paper, we present an approach to integrate the cross-domain system specification with the cross-domain test design with Virtual Testbeds to a comprehensive system model. This enables a continuous simulation-based engineering in the design of space applications. Requirements from the early design phase can be used systematically to test and integrate detailed models from the various disciplines.

The presented system model offers the potential to efficiently integrate national and international know-how to support the development phases of a mission from the requirements analysis to design, visualization, control, operation, training up to marketing and technology transfer. Future projects can be realized faster, less expensive and more robust.

Copyright © 2015 by ASME

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