Validation and Verification of MBSE-Compliant CubeSat Reference Model

Kaslow, David; Madni, Azad M.

doi:10.1007/978-3-319-62217-0_27

Cited by 9 publications

(6 citation statements)

References 9 publications

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“…A simulation can be made increasingly more comprehensive to answer a greater number of deeper questions and explore a greater number of model hypotheses (e.g., inclusion of a variable or parameter can enhance the accuracy of a prediction). Currently, MBSE‐based V&V makes extensive use of Modeling and Simulation (M&S) …”

Section: Model‐based Vandvmentioning

confidence: 99%

Model‐based systems engineering: Motivation, current status, and research opportunities

Madni

Sievers

2018

Systems Engineering

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275

186

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As systems continue to grow in scale and complexity, the Systems Engineering community has turned to Model-Based Systems Engineering (MBSE) to manage complexity, maintain consistency, and assure traceability during system development. It is different from "engineering with models," which has been a common practice in the engineering profession for decades. MBSE is a holistic, systems engineering approach centered on the evolving system model, which serves as the "sole source of truth" about the system. It comprises system specification, design, validation, and configuration management. Even though MBSE is beginning to see a fair amount of use in multiple industries, specific advances are needed on multiple fronts to realize its full benefits. This paper discusses the motivation for MBSE, and its current state of maturity. It presents systems modeling methodologies and the role of ontologies and metamodels in MBSE. It presents model-based verification and validation (V&V) as an example of MBSE use. An illustrative example of the use of MBSE for design synthesis is presented to demonstrate an important MBSE capability. The paper concludes with a discussion of challenges to widescale adoption and offers promising research directions to fully realize the potential benefits of MBSE. K E Y W O R D Smodel-based systems engineering (MBSE), modeling and simulation, system integration, systemsof-systems, verification and validation

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Section: Model‐based Vandvmentioning

confidence: 99%

Model‐based systems engineering: Motivation, current status, and research opportunities

Madni

Sievers

2018

Systems Engineering

Self Cite

275

186

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“…This model-based approach also relies on ModelCenter to link together multiple engineering tools and enable cross-platform analysis. [9], [24]- [27].…”

Section: Mbse and Spacecraftmentioning

confidence: 99%

“…The Logical Architecture sub-model contains a preliminary, generalised logical architecture of the systemwhich is assumed to be a single spacecraft (Figure 7). A logical architecture is an abstraction of a physical architecture and is used to symbolically execute the system functions without implementation constraints [27]. Constraints can be derived by executing the system functionality and are stored in the Logical Architecture sub-model, and act as component requirements when defining the physical architecture.…”

Section: Logical Architecturementioning

confidence: 99%

There's no ‘I’ in SEAM—An Interim Report on the ‘Spacecraft Early Analysis Model’

Gregory

Berthoud

Tryfonas

et al. 2020

2020 IEEE Aerospace Conference

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Model-Based Systems Engineering (MBSE) represents a move away from the traditional approach of Document-Based Systems Engineering (DBSE), and is used to promote consistency, communication, clarity and maintainability within systems engineering projects. In previous work, industry focus groups have indicated that one way this can be achieved is by performing early functional validation of elements of the spacecraft avionics. This paper presents an extended approach, introduced in a case study previously published by the authors, to enable early functional analysis of a spacecraft. The approach uses the 'Spacecraft Early Analysis Model' (SEAM), a SysML-based model framework for the definition, development and analysis of a space-based mission and corresponding space system. This formal model-based representation of the system enables the high-level simulation of the design during Phase B of the spacecraft system lifecycle. The SEAM pulls together different, traditionally disparate, analysis tools and enables them to work together, producing an integrated system model spanning multiple tools. It facilitates the simulation of the mission using dedicated orbit modelling software, analysis of the completeness and accuracy of the system behaviour, and provides an indication of the appropriate logical architecture. The SEAM has been developed iteratively by applying it to Earth-observation case studies from the Biomass mission, refining the capabilities of the template accordingly, and subsequently generalising the model. The resulting interim version of the Spacecraft Early Analysis Model contains a series of MBSE patterns that will ultimately provide users with a comprehensive and consistent SysML-based structure that enables early functional definition and analysis of spacecraft. Next steps in the development of the SEAM include its application to a wider variety of use cases to develop and demonstrate its versatility, and the development of metrics to measure its perceived value among practitioners.

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“…Model-based system engineering (MBSE) accomplishes the development of complex products with a new mode and is capable of forecasting product behaviors, thereby improving the productivity of the product development process. Arguably, the developments of aviation and space systems, which are regarded as the most complex cyber-physical systems (CPSs) in the industry [2], have adopted the MBSE approach to facilitate the implementation of all the phases of the product lifecycle [3][4][5][6][7][8]. e widespread use of MBSE has tended to shift emphasis from data management to model management throughout the entire product's lifecycle [9].…”

Section: Introductionmentioning

confidence: 99%

“…Accordingly, this system model serves as the core model of the system to provide information and maintain consistency with domain-specific models. For example, the Space Systems Working Group of International Council on Systems Engineering developed the CubeSat reference model for mission-specific CubeSat teams [6]. e German Aerospace Center presented the conceptual data model as an abstraction of domain-specific models [5].…”

Section: Introductionmentioning

confidence: 99%

A Design-Task-Oriented Model Assignment Method in Model-Based System Engineering

Wang

Liao

Guo

et al. 2020

Mathematical Problems in Engineering

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In model-based system engineering (MBSE), reuse of existing models in the development of a new system can be advantageous. Automatic assignment of existing models to each design task within a design task set has been proven to be feasible. However, while several studies have discussed the significance of models in MBSE and methodologies for models reuse, solving the model reusability problem through a model assignment method has not been discussed. Additionally, a significant challenge in model assignment is to address the conflict between the maximization of the model value summations, which are yielded by assigning the models to a design task set, and the minimization of the execution cycle of the task set. This study (a) proposes a design-task-oriented model assignment method that establishes a multiobjective model, based on a model assignment integration framework, and (b) designs a differential-evolution-combined adaptive nondominated sorting genetic algorithm-II to provide an optimal tradeoff between maximizing the total model values and minimizing the execution cycle of the task set. By comparing the performance of the algorithm in resolving the assignment of models to a design task set with those of two conventional algorithms in a phased-array radar development project, the algorithm’s performance and promotion of system development are verified to be superior. The new method can be applied for developing model scheduling software for MBSE-compliant product development projects to improve using effects of the models and development cycle.

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Validation and Verification of MBSE-Compliant CubeSat Reference Model

Cited by 9 publications

References 9 publications

Model‐based systems engineering: Motivation, current status, and research opportunities

Model‐based systems engineering: Motivation, current status, and research opportunities

There's no ‘I’ in SEAM—An Interim Report on the ‘Spacecraft Early Analysis Model’

A Design-Task-Oriented Model Assignment Method in Model-Based System Engineering

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