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Simulink as a Core Tool in Development of Next Generation Gripen
Linköping University, Department of Management and Engineering, Machine Design . Linköping University, The Institute of Technology. (Saab Aerosystems, Sweden)
Saab Aerosystems, Sweden.
Linköping University, Department of Management and Engineering, Machine Design . Linköping University, The Institute of Technology.
2008 (English)In: Proceedings of Nordic Matlab User Conference 2008, Stockholm, Sweden, 2008Conference paper, Published paper (Other academic)
Abstract [en]

In the planning and concept study phases of the next generation Gripen fighter aircraft, methods and tools studies have been performed. Capabilities and limitations of the Simulink toolset have been evaluated to explore how it can support model based systems/software engineering. In this paper, three different approaches of Simulink usage for functional development are presented:

  1. The functional oriented systems modeling and simulation approach where the function is in focus; complete enough to be simulatable, but abstract from an implementation point of view.
  2. An implementation oriented specification approach that is based on a modeling framework with predefined system architecture, scheduling, data types and rules for discretization. The resulting embedded software is hand coded using the model as specification.
  3. Similar to approach two but here the embedded software is automatically generated using a high quality code generator.

The driver for choosing approach is threefold; high quality, short development time and low cost. Some experiences based on these prerequisites are presented, mainly concerning the aspects of scalability, such as; model architecture, license model and project ramp-up challenges. The results are also compared to the existing SystemBuild based development environment. When introducing high-end engineering practices and tools such as Simulink in an organization developing safety-critical products, it is important to make sure that also basic management practices (e.g. Requirements-, Configuration- and Change Management) are thoroughly handled.

Place, publisher, year, edition, pages
2008.
Keyword [en]
Gripen, Simulink, MBD, SysML
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-17940OAI: oai:DiVA.org:liu-17940DiVA: diva2:213023
Available from: 2009-04-27 Created: 2009-04-27
In thesis
1. Aircraft Systems Modeling: Model Based Systems Engineering in Avionics Design and Aircraft Simulation
Open this publication in new window or tab >>Aircraft Systems Modeling: Model Based Systems Engineering in Avionics Design and Aircraft Simulation
2009 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Aircraft developers like other development and manufacturing companies, are experiencing increasing complexity in their products and growing competition in the global market. One way to confront the challenges is to make the development process more efficient and to shorten time to market for new products/variants by using design and development methods based on models. Model Based Systems Engineering (MBSE) is introduced to, in a structured way, support engineers with aids and rules in order to engineer systems in a new way.

In this thesis, model based strategies for aircraft and avionics development are studied. A background to avionics architectures and in particular Integrated Modular Avionics is described. The integrating discipline Systems Engineering, MBSE and applicable standards are also described. A survey on available and emerging modeling techniques and tools, such as Hosted Simulation, is presented and Modeling Domains are defined in order to analyze the engineering environment with all its vital parts to support an MBSE approach.

Time and money may be saved by using modeling techniques that enable understanding of the engineering problem, state-of-the-art analysis and team communication, with preserved or increased quality and sense of control. Dynamic simulation is an activity increasingly used in aerospace, for several reasons; to prove the product concept, to validate stated requirements, and to verify the final implementation. Simulation is also used for end-user training, with specialized training simulators, but with the same underlying models. As models grow in complexity, and the set of simulation platforms is expanded, new needs for specification, model building and configuration support arise, which requires a modeling framework to be efficient.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2009. 106 p.
Series
Linköping Studies in Science and Technology. Thesis, ISSN 0280-7971 ; 1394
Keyword
MBSE, MBD, Avionics, Simulation
National Category
Engineering and Technology
Identifiers
urn:nbn:se:liu:diva-17573 (URN)LIU-TEK-LIC-2009:2 (Local ID)978-91-7393-692-7 (ISBN)LIU-TEK-LIC-2009:2 (Archive number)LIU-TEK-LIC-2009:2 (OAI)
Presentation
2009-03-06, Hus A, Sal A37, Campus Valla, Linköpings Universitet, Linköping, 10:15 (Swedish)
Opponent
Supervisors
Available from: 2009-04-27 Created: 2009-04-01 Last updated: 2009-04-27Bibliographically approved

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Andersson, HenricÖlvander, Johan

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