Investigating the Flexibility of the MBSE Approach to the Biomass Mission

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

doi:10.1109/tsmc.2019.2958757

Cited by 5 publications

(8 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…addition of a requirement, late solution change, etc.) [35]. Quantifying these benefits, however, has proven difficult.…”

Section: Discussionmentioning

confidence: 99%

“…This work is detailed in [10]. The resulting mission-specific model has also been evaluated in terms of its flexibility and robustness to some examples of changes common to systems engineering projects [35].…”

Section: Biomass Use Casesmentioning

confidence: 99%

“…The functional chain presented in Figure 11 can be used to introduce additional modes. This exercise has been performed and its efficiency reviewed in [35]. There is also a standard pattern by which additional MATLAB scripts can be called from the core model, thus providing an easy way to maintain, update, add and remove mathematical analyses of the system.…”

Section: Summary Of Key Featuresmentioning

confidence: 99%

See 2 more Smart Citations

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

Self Cite

View full text Add to dashboard Cite

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.

show abstract

“…addition of a requirement, late solution change, etc.) [35]. Quantifying these benefits, however, has proven difficult.…”

Section: Discussionmentioning

confidence: 99%

Section: Biomass Use Casesmentioning

confidence: 99%

Section: Summary Of Key Featuresmentioning

confidence: 99%

See 1 more Smart Citation

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

Self Cite

View full text Add to dashboard Cite

show abstract

“…Gregory et al. analyzed the Payload Data Handling Unit (PDHU) of the Biomass spacecraft 22 . The spacecraft functional design requirements were modeled in SysML and simulated over a 70‐day mission profile to quantify performance in terms of memory usage.…”

Section: Introductionmentioning

confidence: 99%

Comparative analysis of model‐based and traditional systems engineering approaches for simulating a robotic space system architecture through automatic knowledge processing

Younse

Cameron

Bradley

2022

Systems Engineering

View full text Add to dashboard Cite

Model-based Systems Engineering (MBSE) case studies in the literature assert that there are benefits to MBSE when applied to modeling and simulating space systems. This research evaluates the benefits of an MBSE modeling and simulation approach over a traditional, non-MBSE approach through modeling and simulation of an orbiting sample Capture and Orient Module (COM) architecture for potential Mars Sample Return (MSR). The COM architecture was modeled, simulated, and evaluated against nominal load power and output data rate requirements to compare the two approaches. A new modeling and simulation-centric V-model was synthesized from existing V-model and modeling and simulation process models to map out the modeling and simulation activities within the context of the system development lifecycle and used as a tool to compare the non-MBSE and MBSE approaches. A three-phase modeling and simulation process consisting of an analysis and modeling phase, computer programming and implementation phase, and experimentation phase was used to model and simulate the COM. The total number of manual and automatic knowledge processed was calculated for both approaches and used to quantify the benefits of the MBSE approach relative to the non-MBSE approach. In the non-MBSE approach, all knowledge elements were manually processed during the modeling and simulation process. In the MBSE approach, 49% of total knowledge processing was automated.The MBSE approach showed user experience benefits with modeling and simulating the COM robotic space system through providing a higher level of support for automation, reducing the burden of systems engineering tasks, and reducing effort.

show abstract

“…MBSE is a model-centric approach to different disciplines (including mechanical, electrical and software).It is expected to replace the previous document-centric approach by being integrated into the systems engineering process to change future systems engineering practices [1]. MBSE supports the life cycle of system engineering activities through formal modeling [2], with system complexity control and management capabilities, information consistency, and global traceability.…”

Section: Introductionmentioning

confidence: 99%

Building SysML Model Graph to Support the System Model Reuse

Fu¹,

Liu

Wang

2021

IEEE Access

View full text Add to dashboard Cite

With the implementation and application of MBSE (Model Based System Engineering) in enterprises, a vast number of system model files is constantly and increasingly generated. The problem of how to acquire the knowledge carried by the system model and reuse the system model is urgently required to be solved. Therefore, a cross-products system model graph construction method supporting system model reuse is proposed. System model graph is constructed by defining the SysML metamodel ontology and the construction strategy is given. The entity alignment based on the relationship set and the rule-based reasoning is applied to achieve the fusion of multiple subgraphs, and the semantic extended retrieval of design requirements is realized based on this graph. Finally, the case studies of the Automatic Climate Control Integrated System of car and satellite design verify the effectiveness and practicability of the method, supporting system model reuse. In conclusion, the paper indicates that it is feasible to express the system model with knowledge graph and the constructed system model knowledge graph can well support the retrieval and reuse of cross-products system models.

show abstract

Investigating the Flexibility of the MBSE Approach to the Biomass Mission

Cited by 5 publications

References 33 publications

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

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

Comparative analysis of model‐based and traditional systems engineering approaches for simulating a robotic space system architecture through automatic knowledge processing

Building SysML Model Graph to Support the System Model Reuse

Contact Info

Product

Resources

About