Exploration of MBSE Methods for Inheritance and Design Reuse in Space Missions

Trujillo, Alejandro E.; Madni, Azad M.

doi:10.1007/978-3-030-82083-1_47

Cited by 3 publications

(1 citation statement)

References 11 publications

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“…Future directions include the creation of formal ontologies and metamodel [24] to guide systems integration, human-systems integration [26,27], adversarial modeling, introduction of digital twins at the system, and subsystem levels [5], reinforcement learning techniques to cope with partial observability and uncertainty [17], support for distributed simulation standards (i.e., IEEE 1278.2-2015), and ontology-enabled reuse [28,29] and interoperability [30].…”

Section: Discussionmentioning

confidence: 99%

MBSE Testbed for Rapid, Cost-Effective Prototyping and Evaluation of System Modeling Approaches

Madni

2021

Applied Sciences

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Model-based systems engineering (MBSE) has made significant strides in the last decade and is now beginning to increase coverage of the system life cycle and in the process generating many more digital artifacts. The MBSE community today recognizes the need for a flexible framework to efficiently organize, access, and manage MBSE artifacts; create and use digital twins for verification and validation; facilitate comparative evaluation of system models and algorithms; and assess system performance. This paper presents progress to date in developing a MBSE experimentation testbed that addresses these requirements. The current testbed comprises several components, including a scenario builder, a smart dashboard, a repository of system models and scenarios, connectors, optimization and learning algorithms, and simulation engines, all connected to a private cloud. The testbed has been successfully employed in developing an aircraft perimeter security system and an adaptive planning and decision-making system for autonomous vehicles. The testbed supports experimentation with simulated and physical sensors and with digital twins for verifying system behavior. A simulation-driven smart dashboard is used to visualize and conduct comparative evaluation of autonomous and human-in-the-loop control concepts and architectures. Key findings and lessons learned are presented along with a discussion of future directions.

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Section: Discussionmentioning

confidence: 99%

MBSE Testbed for Rapid, Cost-Effective Prototyping and Evaluation of System Modeling Approaches

Madni

2021

Applied Sciences

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Resilient Requirements Engineering

Gräßler

Oleff

Preuß

et al. 2023

Zeitschrift Für Wirtschaftlichen Fabrikbetrieb

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Entwicklungsprojekte stehen in einem Spannungsfeld von Volatilität, Unsicherheit, Komplexität und Ambiguität (VUCA). Resilient Requirements Engineering (RRE) ist ein vielversprechender Ansatz, diesen Rahmenbedingungen gerecht zu werden und erfolgreich zu entwickeln. Es werden Methoden aus den drei Innovationsfeldern des RRE – Vorausschau, Effizienz und Nachhaltigkeit – angewendet, um Effizienzpotenziale in der Produktentwicklung zu nutzen und frühzeitig Nachhaltigkeitsdimensionen in der Ermittlung von Stakeholderbedürfnissen zu verankern.

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Applying MBSE to Optimize Satellite and Payload Interfaces in Early Mission Phases

Slobin,

Yoon,

Fugger

2024

Systems

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The use of model-based systems engineering (MBSE) has been increasingly explored recently in industries that require multi-discipline engineering coordination. In the European space industry, applying MBSE for the engineering of space systems has been an ongoing undertaking on many missions. In the following paper, the MBSE activities in CAMEO conducted during the A/B1 phases of a typical Earth observation satellite engineered by Airbus are discussed in detail in the form of a case study. The analyses shown are based around the modeling of the spacecraft electrical interfaces in CAMEO. This model was used to automate electrical interface control documents (EICDs) and enable the control of electrical interface development. These methodologies were further put in the context of Airbus’ satellite design processes to assess the benefits of an MBSE approach to the current electrical interface engineering procedure and the potential for the reuse of CAMEO models between satellite projects. The reduction in system engineering effort through the reuse of models to modularly create similar satellite systems for efficient concept evaluation and comparison is a clear benefit.

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Exploration of MBSE Methods for Inheritance and Design Reuse in Space Missions

Cited by 3 publications

References 11 publications

MBSE Testbed for Rapid, Cost-Effective Prototyping and Evaluation of System Modeling Approaches

MBSE Testbed for Rapid, Cost-Effective Prototyping and Evaluation of System Modeling Approaches

Resilient Requirements Engineering

Applying MBSE to Optimize Satellite and Payload Interfaces in Early Mission Phases

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