Joe Gregory;Lucy Berthoud;Theo Tryfonas;Ludovic Faure;Antonio Prezzavento
{"title":"The Spacecraft Early Analysis Model: An MBSE Framework for Early Analysis of Spacecraft Behavior","authors":"Joe Gregory;Lucy Berthoud;Theo Tryfonas;Ludovic Faure;Antonio Prezzavento","doi":"10.1109/TSMC.2025.3581567","DOIUrl":null,"url":null,"abstract":"Model-based systems engineering (MBSE) represents a move away from the traditional approach to systems engineering. MBSE has the potential to promote consistency, communication, clarity and maintainability within systems engineering projects. MBSE also has the potential to address one of the well-known issues of the systems engineering process—the late discovery of errors or design faults. In this article, the development of the “Spacecraft early analysis model” (SEAM) is detailed and the current version is presented. The SEAM is a model-based framework developed by the authors to define, execute and analyze spacecraft structure and behavior during preliminary design. The SEAM comprises multiple modules (Project, Requirements, Mission, System, Operations) that enable the definition of the spacecraft and its supporting systems, and enables each to be updated independently. The SEAM incorporates a novel behavioral pattern that structures the modes and functions of the spacecraft using state machines and activities. Using this pattern, the behavior itself is not prescribed, as is common in similar model-based representations of spacecraft. The user defines individual functions and modes, and the user then simulates the behavior of the spacecraft in response to a concept of operations (ConOps). In this article, the need for the SEAM, the development approach, the SEAM composition and the limitations of the SEAM are presented and discussed.","PeriodicalId":48915,"journal":{"name":"IEEE Transactions on Systems Man Cybernetics-Systems","volume":"55 10","pages":"6658-6670"},"PeriodicalIF":8.7000,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Systems Man Cybernetics-Systems","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/11072826/","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
Model-based systems engineering (MBSE) represents a move away from the traditional approach to systems engineering. MBSE has the potential to promote consistency, communication, clarity and maintainability within systems engineering projects. MBSE also has the potential to address one of the well-known issues of the systems engineering process—the late discovery of errors or design faults. In this article, the development of the “Spacecraft early analysis model” (SEAM) is detailed and the current version is presented. The SEAM is a model-based framework developed by the authors to define, execute and analyze spacecraft structure and behavior during preliminary design. The SEAM comprises multiple modules (Project, Requirements, Mission, System, Operations) that enable the definition of the spacecraft and its supporting systems, and enables each to be updated independently. The SEAM incorporates a novel behavioral pattern that structures the modes and functions of the spacecraft using state machines and activities. Using this pattern, the behavior itself is not prescribed, as is common in similar model-based representations of spacecraft. The user defines individual functions and modes, and the user then simulates the behavior of the spacecraft in response to a concept of operations (ConOps). In this article, the need for the SEAM, the development approach, the SEAM composition and the limitations of the SEAM are presented and discussed.
期刊介绍:
The IEEE Transactions on Systems, Man, and Cybernetics: Systems encompasses the fields of systems engineering, covering issue formulation, analysis, and modeling throughout the systems engineering lifecycle phases. It addresses decision-making, issue interpretation, systems management, processes, and various methods such as optimization, modeling, and simulation in the development and deployment of large systems.