Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
3.0
2.6
Journals
Aerospace
Special Issues
Space System Engineering
share announcement

Space System Engineering

A special issue of Aerospace (ISSN 2226-4310). This special issue belongs to the section "Astronautics & Space Science".

Deadline for manuscript submissions: closed (31 August 2022) | Viewed by 5782

Special Issue Editors

Dr. Alejandro Salado

E-Mail Website
Guest Editor
Department of Systems and Industrial Engineering, The University of Arizona, Tucson, AZ 85719, USA
Interests: theory of systems engineering; formalization of systems engineering; methods that improve systems engineering practice (in the areas of problem formulation, verification, validation strategies and system architecture) and engineering education
Dr. Alessandro Golkar

E-Mail Website
Co-Guest Editor
Department of Aeronautics and Astronautics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
Interests: systems architecture; space systems; satellite engineering; systems design
Dr. Bryan Mesmer

E-Mail Website
Co-Guest Editor
Department of Industrial and Systems Engineering & Engineering Management, The University of Alabama in Huntsville, Huntsville, AL 35899, USA
Interests: reimagining systems engineering; employing stakeholder modeling and non-traditional discipline methods
Dr. Hanumanthrao Kannan

E-Mail Website
Co-Guest Editor
Department of Industrial and Systems Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA
Interests: formalization of systems engineering; problem formulation; validation; knowledge representation and reasoning; SE for AI; AI for SE; model composition; satellite system design

Special Issue Information

Dear Colleagues,

The birth of space systems and systems engineering as an engineering discipline happened essentially simultaneously. More than half a century after their beginnings, both space systems and systems engineering have evolved significantly. Miniaturization and commercialization have led to constellations of space systems in unprecedented quantities. Computational power and the continued adoption of modelling are leading to the digitalization of systems practices and artifacts that used to rely on documents. In these evolutions, the development of space systems has continued to rely on the practice of systems engineering, and the modernization of systems engineering has been significantly driven by the needs of space systems developers. This Special Issue on Space Systems Engineering aims at collecting current trends in the field, which may include the application of novel methods to any aspect of systems engineering, the digitalization of systems engineering methods and artifacts, as well as the modernization and tailoring of systems engineering approaches in the context of New Space and space miniaturization.

Dr. Alejandro Salado
Dr. Alessandro Golkar
Dr. Bryan Mesmer
Dr. Hanumanthrao Kannan
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Aerospace is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • new space
  • space miniaturization
  • systems engineering methods
  • digitalization of systems engineering
  • model-based systems engineering (MBSE)
  • concurrent engineering

Published Papers (2 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

17 pages, 2869 KiB  
Article
Model-Based Systems Engineering Cybersecurity for Space Systems
by Mitchell Kirshner
Aerospace 2023, 10(2), 116; https://doi.org/10.3390/aerospace10020116 - 25 Jan 2023
Cited by 3 | Viewed by 2711
Abstract
As industries in various sectors increasingly adopt model-based systems engineering (MBSE) for system lifecycle design and development, engineers can manage and describe systems of higher complexity than ever before. This is especially true for the field of space systems; while past missions have [...] Read more.
As industries in various sectors increasingly adopt model-based systems engineering (MBSE) for system lifecycle design and development, engineers can manage and describe systems of higher complexity than ever before. This is especially true for the field of space systems; while past missions have developed using document-based planning, it is only in the last several years that NASA and other organizations in the space industry have begun using MBSE. One crucial factor of space systems development that is often overlooked is cybersecurity. As space systems become more complex and cyberphysical in nature, cybersecurity requirements become more difficult to capture, especially through document-based methods; a need for a means by which to continuously verify and validate systems cybersecurity for cyberphysical space missions arises. By expanding upon a National Institute of Standards and Technology (NIST) framework for cyber resiliency, this work proposes a methodology that uses MBSE traceability functionality to demonstrate adequate cybersecurity for cyberphysical space systems using SysML requirements modeling capabilities. Key goals, objectives, and strategic principles leading to achieving cybersecurity at all levels of the system’s architectural hierarchy are presented. Recommendations for the future of space cybersecurity include the addition of the space sector to the Department of Homeland Security Cybersecurity & Infrastructure Security Agency’s list of critical infrastructure sectors to improve standardization and control of space cyberinfrastructure. Full article
(This article belongs to the Special Issue Space System Engineering)
►▼ Show Figures

Figure 1

21 pages, 4670 KiB  
Article
Metric for Structural Complexity Assessment of Space Systems Modeled Using the System Modeling Language
by Victor Emmanuel Pierre Lopez and Lawrence Dale Thomas
Aerospace 2022, 9(10), 612; https://doi.org/10.3390/aerospace9100612 - 17 Oct 2022
Viewed by 1585
Abstract
A complexity metric is proposed for the quantification of system complexity using information about the composition of a system and its interactions depicted in a System Modelling Language (SysML) model. The proposed metric is adapted from the complexity metric developed for design structure [...] Read more.
A complexity metric is proposed for the quantification of system complexity using information about the composition of a system and its interactions depicted in a System Modelling Language (SysML) model. The proposed metric is adapted from the complexity metric developed for design structure matrix (DSM) applications and was modified to allow the metric to be applied at different decomposition levels and to accommodate the inclusion of external interactions. The metric was applied to three case studies: a Mars lander, a CubeSat and a spacecraft thermal control system. The proposed metric attributed a higher amount of complexity due to the interactions compared to the DSM metric. This variance resulted in instances where the results differed for the two metrics. Despite these differences, both metrics behaved similarly to changes in component or interaction complexity. Full article
(This article belongs to the Special Issue Space System Engineering)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-2
Back to TopTop