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

Gregory, Joe; Berthoud, Lucy; Tryfonas, Theo; Faure, Ludovic

doi:10.1109/aero47225.2020.9172702

Cited by 2 publications

(2 citation statements)

References 19 publications

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“…The designer could select up to two design variables to plot against for each one. Figures 16,18,19,20,21 and 23 were generated using this workflow.…”

Section: Figure 3 Generative Design Custom Sysml Workflow Diagrammentioning

confidence: 99%

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Towards Improving the Design Space Exploration Process Using Generative Design With MBSE

Timperley

Berthoud

Snider

et al. 2023

2023 IEEE Aerospace Conference

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Model Based Systems Engineering (MBSE) is an interesting alternative to traditional systems engineering methods. Instead of using electronic documents to record system information, MBSE uses a unified and coherent system model. Trade-offs are a major element of a space systems engineer's role in early system design. This can be a particularly challenging process in the domain of spacecraft, as the system designs are often very complex and the constraints can be difficult to characterize. There has been little previous research on the use of MBSE as a design space exploration tool or in support of trade-offs. This paper investigates the potential to use MBSE for design exploration and to understand trade-offs, through the creation of a new toolset including a SysML profile. The tool draws on generative design (allowing automatic guided generation of a multitude of design alternatives) and system optimization to rapidly generate and assess new designs using interactive analysis and visualizations. Techniques such as surrogate modelling, genetic algorithms and robustness measurements will be available in the toolset. The toolset was applied to a design scenario aiming to improve the trade off and design selection process for LEO Earth observation satellites. The upcoming ESA TRUTHS space mission was used as a case study and the design process was recorded and compared to a manual design exploration approach. The toolset was found to reduce the design exploration time by 38% to 96% , allow exploration of more designs in an equivalent time and provide better quantification of the relationships present in the design space, all without drops in selected design quality. For now, the toolset can only perform parameter variation in the design exploration and future work is expected to extend this to higher levels of variability. The study also discusses how the MBSE toolset could be applied to other missions, offering the same advantages to all early phase spacecraft designers. TABLE OF CONTENTS 1. INTRODUCTION .

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“…The designer could select up to two design variables to plot against for each one. Figures 16,18,19,20,21 and 23 were generated using this workflow.…”

Section: Figure 3 Generative Design Custom Sysml Workflow Diagrammentioning

confidence: 99%

“…To allow an assessment of the toolset in a controlled application, a model of TRUTHS that could be run with various forms of analysis first needed to be completed. This model followed the spacecraft early analysis model framework presented in [18]. The model used the breakdown structure in Fig.…”

Section: Baseline Modelmentioning

confidence: 99%

Towards Improving the Design Space Exploration Process Using Generative Design With MBSE

Timperley

Berthoud

Snider

et al. 2023

2023 IEEE Aerospace Conference

View full text Add to dashboard Cite

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Early Validation and Verification of System Behaviour in Model-based Systems Engineering: A Systematic Literature Review

Cederbladh,

Cicchetti,

Suryadevara

2024

ACM Trans. Softw. Eng. Methodol.

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In the Systems Engineering (SE) domain there has been a paradigm shift from document-based to model-based system development artefacts; in fact, new methodologies are emerging to meet the increasing complexity of current systems and the corresponding growing need of digital workflows. In this regard, Model-Based Systems Engineering (MBSE) is considered as a key enabler by many central players of the SE community. MBSE has reached an adequate level of maturity and there exist documented success stories in its adoption in industry. In particular, one significant benefit of utilising MBSE when compared to the traditional manual and document-centric workflows is that models are available from early phases of systems development; these enable a multitude of analyses prior any implementation effort together with other relevant capabilities, like the automation of development tasks. Nonetheless, it is noticeable there is a lack of a common understanding for how formal analyses for the verification and validation (V&V) of systems behaviour, specifically in the early phases of development, could be placed in an MBSE setting. In this article, we report on the planning, execution, and results of a systematic literature review regarding the early V&V of systems behaviour in the context of model-based systems engineering. The review aims to provide a structured representation of the state-of-the-art with respect to motivations, proposed solutions, and limitations. From an initial set of potentially relevant 701 peer-reviewed publications we selected 149 primary studies, which we analysed according to a rigorous data extraction, analysis, and synthesis process. Based on our results, early V&V has usually the goal of checking the quality of a system design to avoid discovering flaws when parts are being concretely realised; SysML is a de facto standard for describing the system under study, while the solutions for the analyses tend to be varied; also V&V analyses tend to target varied properties with a slight predominance of functional concerns, and following the variation mentioned so far the proposed solutions are largely context specific; the proposed approaches are usually presented without explicit limitations, while when limitations are discussed, readiness of the solutions, handling of analyses simplifications/assumptions, and languages/tools integration are among the most frequently mentioned issues. Based on the survey results and the standard SE practices, we discuss how the current state-of-the-art MBSE supports early V&V of systems behaviour with a special focus on industrial adoption, and identify relevant challenges to be researched further.

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

Cited by 2 publications

References 19 publications

Towards Improving the Design Space Exploration Process Using Generative Design With MBSE

Towards Improving the Design Space Exploration Process Using Generative Design With MBSE

Early Validation and Verification of System Behaviour in Model-based Systems Engineering: A Systematic Literature Review

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