Model-based systems engineering (MBSE) is an approach to improve traditional document-based systems engineering approach through the use of a system model. In the current practice of system developments, there exists a large gap between systems engineering activities and engineering analyses, because systems engineers and engineering analysts are using different models, tools and terminology. The gap results in inefficiencies and quality issues that can be very expensive to fix. An integrated modeling and analysis capability was developed that bridges the gap. The technical approach is based on integrating SysML modeling tools with a process integration and design optimization framework. A capability was developed to automatically generate analysis models from a system model and then execute the analytical models. The integrated toolset enables engineers to quickly evaluate system configurations using realistic analysis models and automatically check requirements compliance. The capability was applied to a number of system development projects in industry, including a ground-based radar system. The integrated approach allowed the design teams to perform continuous design, analysis, and trade studies throughout the design process, and respond quickly to changes in requirements and design configurations.

The introduction of Systems Engineering (SE) for the mechatronic product development is important even in classic engineering companies and shall be discussed. Therefore, companies are asking the question, what added value is offered by the integration of SE with respect to their conventional and established development process as well as what benefits will arise with respect to a shortening of the development time, cost savings such as an increase in productivity, quality and innovation. Rightly so, the question must also be asked, how high the investments in Systems Engineering processes, methods and IT-Tools are to be expected for a company. In the following contribution the challenges and benefits of SE will be presented. The deliberate introduction of “Model Based Systems Engineering” (MBSE) can aid in the conversion from a document-centered approach to a model-based development methodology in order to exploit the desired potential benefits. This paper presents the experience of the introduction and adaptation of MBSE based on the example of machine development.

Dans la pratique actuelle du développement des systèmes, existe un fossé important entre les activités liées à l’ingénierie système et le monde de la simulation dans les divers domaines d’expertise. En particulier, il n’y a pas de réel lien entre les modèles d’architecture développés en utilisant des langages comme SysML et les modèles d’analyse propres aux disciplines définis dans des outils spécialisés. Dans le but de pallier ce décalage, une fonctionnalité a été développée permettant d’intégrer des modèles décrits en SysML à des modèles d’analyse. Le présent article traite de l’utilisation de cette fonctionnalité pour la conception d’un système propulsif d’avion. Les exigences système et l’architecture sont définis dans un modèle SysML, les modèles d’analyse sont ensuite importés dans le modèle SysML, pour configurer des diagrammes paramétriques. Les analyses sont effectuées à partir du modèle SysML, afin de contrôler la conformité des exigences du système. Lorsque ces méthodes sont mises au service des processus de conception de l’industrie, la technologie peut permettre de rationaliser les demandes d’analyses à partir des modèles d’architecture système.

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L’article introduit tout d’abord la modélisation intégrée et ses capacités d’analyse puis il montre son application à une étude de cas industriel.

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Model Based Systems Engineering (MBSE) is a key practice to advance systems engineering that can benefit CubeSat missions. MBSE creates a system model that helps integrate other discipline specific engineering models and simulations. The system level model is initiated at the start of a project and evolves throughout development. It provides a cohesive and consistent source of system requirements, design, analysis, and verification.

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This paper describes an integrated, executable MBSE representation of the Radio Aurora Explorer (RAX) CubeSat mission. The purpose of the RAX mission is to study the formation of magnetic field-aligned electron density irregularities in the Earth’s ionosphere, which are known to disrupt tracking and communication between Earth and orbiting spacecraft. The RAX CubeSat model describes the configuration and properties for various systems and subsystems, and is capable of executing behavior and parametric models for analyzing subsystem functions and states of the spacecraft. It is comprised of a SysML model created with MagicDraw®, a set of analytical models developed in MATLAB®, and a high fidelity space system simulation model created in STK®. ModelCenter was used to integrate the analytical and simulation models. The integrated analyses were linked to the SysML model using MBSE Analyzer, a bridge between SysML tools and ModelCenter. Behavioral models were executed for a representative RAX mission to study energy state and data collection capabilities.

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Performing system-level trade studies during the design of complex systems has many benefits in terms of performance, reliability, and cost. However, current engineering practices often do not facilitate system-level trade studies because system specifications and requirements are not connected to analytical models that are used to predict performance and cost. To bridge the gap, authors have created a bridge between system architecture models and engineering analyses. This work extends the bridge between the system modeling language (SysML) and engineering analyses to support the use of parts catalogs from system architecture models. Complex systems such as automobiles are seldom created from scratch. Rather, there are many off-the-shelf parts and subsystems available. Combined with the bridge between SysML and engineering analyses, parts catalog data available from system models enables evaluating many different configurations of a system and identifying best designs. The technical approach is demonstrated using an automobile brake design example. The integrated approach allowed generating a large number of design configurations and evaluating those using engineering analyses. Multidimensional point cloud visualization techniques were applied to identify trade-offs between cost and system performance. It is discussed how the interactive point cloud visualization technique can be used to perform requirements change impact analysis

Lockheed Martin has implemented a composable design methodology in the update of its

A2100 Satellite product line. The composable design methodology leverages model-based systems engineering language and tools to formalize allowable architectural choices within

the product line, limiting the decision points and decision options available to system architects, as well as imposing constraints on how those decisions may be combined. Even in

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the context of those limitations, a complex system can have a large design space, required to support flexibility for widely varying missions, payloads, and customers. This can result in

many valid architecture configurations that satisfy a given set of mission requirements.

When faced with identifying the preferred satellite architecture for a given mission, a system architect may often resort to the familiar rather than evaluating all potential configurations

for the optimal balance of cost, schedule, and performance. By leveraging optimization techniques with a Composable System Reference Architecture, Lockheed Martin enables a

system architect to rapidly identify a subset of configurations that form an optimal pareto

front based on performance and cost objectives. The system architect can choose a configuration that best achieves all identified objectives, while retaining flexibility to prioritize among competing objectives in a manner most appropriate for their program.

This paper shows that the composable model suite developed by Lockheed Martin supports repeated analysis of optimal architecture configurations to satisfy varying mission and customer applications from program to program.

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A rapidly maturating systems modeling community has seen a growth in available tools

and technological support. A major promise of systems modeling has been a new level of multidisciplinary analysis. This paper presents an advance on this front in the ability to connect the web-based infrastructure growing around MBSE and the desktop-based infrastructure of traditional aerospace engineering analysis. An extension of the MBSEPak

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tool was developed with support from both JPL and Phoenix Integration. This extension

allows a model stored on the OpenMBEE web-based modeling platform to automatically generate an executable workflow on the ModelCenter Cloud web-based analysis platform.

This paper describes this new tool in the context of the larger approach to MBSE infrastructure at JPL. While the new tool has yet to see full deployment, incremental improvements in analytical work realized in the larger infrastructure are discussed.

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The objective of the ship design synthesis procec ess is to derive a ship’s physical and performance characteriisstics based on mission requirements and selected technology aannd configuration options. To accomplish this objective an effectc itive compromise must be achieved between the many competiinng requirements and constraints that form the available desisign space. The engineering disciplines that are addressed dururing the design synthesis process include; mission systemms and cargo requirements, hull form geometry, hull subdiviv sision, deckhouse geometry and subdivision, structures, appenddaages, resistance, propulsors, machinery arrangements, weight es st itimates, required arrangeable area and volume, intact stability andd seakeeping.