Enterprise modeling for CubeSats

Anderson, Louise; Cole, Bjorn; Yntema, Rose; Bajaj, Manas; Spangelo, Sara; Kaslow, David; Lowe, Christopher; Sudano, Eric V.; Boghosian, Mary; Reil, Robin; Asundi, Sharan; Friedenthal, Sanford

doi:10.1109/aero.2014.6836343

Cited by 11 publications

(4 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However for it to work successfully, all of the mathematical relationships must be in closed form such that they can be solved using symbolic mathematical engines, such as Mathematica ® . The Space Systems Working Group of the International Council on Systems Engineering are making developments in this particular field of research specifically on CubeSats [3] [16]. In the present work, some of the relationships have a specific directionality ‡ A repeating GT orbit is one where the sub-satellite track exactly matches a previous one after an integer number of orbits and require iterative loops or other numerical methods to find a solution.…”

Section: The Inter-disciplinary Design Problemmentioning

confidence: 98%

Rapid model-based inter-disciplinary design of a CubeSat mission

Lowe¹,

Macdonald²

2014

Acta Astronautica

View full text Add to dashboard Cite

With an increase in the use of small, modular, resource-limited satellites for Earth orbiting applications, the benefit to be had from a model-based architecture that rapidly searches the mission trade-space and identifies near-optimal designs is greater than ever. This work presents an architecture that identifies trends between conflicting objectives (e.g. lifecycle cost and performance) and decision variables (e.g. orbit altitude and inclination) such that informed assessment can be made as to which design/s to take on for further analysis. The models within the architecture exploit analytic methods where possible, in order avoid computationally expensive numerical propagation, and achieve rapid convergence. Two mission cases are studied; the first is an Earth observation satellite and presents a trade-off between ground sample distance and revisit time over a ground target, given altitude as the decision variable. The second is a satellite with a generic scientific payload and shows a more involved trade-off, between data return to a ground station and cost of the mission, given variations in the orbit altitude, inclination and ground station latitude. Results of each case are presented graphically and it is clear that non-intuitive results are captured that would typically be missed using traditional, point-design methods, where only discrete scenarios are examined

show abstract

Section: The Inter-disciplinary Design Problemmentioning

confidence: 98%

Rapid model-based inter-disciplinary design of a CubeSat mission

Lowe¹,

Macdonald²

2014

Acta Astronautica

View full text Add to dashboard Cite

show abstract

“…The first was the development of a CubeSat Enterprise Model to capture cost and product lifecycle aspects for the mission spacecraft and problem domain. 12 The second activity incorporated additional design and operational characteristics into the RAX model. 6 The following two trade studies were demonstrated: 1) On board energy level as a function of solar panel area and maximum battery capacity, and 2) quantity of data downloaded as function of orbital altitude and ground station network.…”

Section: Cubesat Reference Model Developmentmentioning

confidence: 99%

CubeSat Model Based System Engineering (MBSE) Reference Model - Application in the Concept Lifecycle Phase

Kaslow

2015

AIAA SPACE 2015 Conference and Exposition

Self Cite

View full text Add to dashboard Cite

Model-Based Systems Engineering (MBSE) is a key practice to advance systemsengineering that can benefit CubeSat missions. MBSE involves creating a system model that is a single source for system engineering such as architecture development and interface management. The system model also integrates other discipline specific engineering models and simulations. Our application of MBSE uses System Modeling Language (SysML), a graphical modeling language, to model all aspects of a system either directly or through an interface with another model. SysML diagrams are used to describe requirements, structures, behaviors, and parametrics from the system down to the component level. The model is intended for use by aerospace students in their classroom or by a CubeSat team building a mission-specific CubeSat. Using the CubeSat Reference Model as a starting point, a user can populate a mission-specific model with the concept lifecycle stakeholders and stakeholder needs, objectives, constraints, and measures of effectiveness (MOEs) and carry out concept life-cycle studies.

show abstract

“…A core question that MBSE seeks to answer is how to integrate engineering models across tools and domain boundaries [6]. MBSE is the formalized application of modeling to support system requirements, design, analysis, optimization, verification, and validation [7]- [9]. By using interconnected models to store, represent, and relate this information and data, projects can expect improvements in consistency, communication, clarity, visibility, maintainability, etc.-thus addressing the growing issues associated with cost, complexity, and safety [10], [11].…”

Section: Introductionmentioning

confidence: 99%

Investigating the Flexibility of the MBSE Approach to the Biomass Mission

Gregory

Berthoud

Tryfonas

et al. 2021

IEEE Trans. Syst. Man Cybern, Syst.

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. MBSE offers approaches that can address issues associated with cost, complexity, and safety. One way that this can be achieved is by performing early functional validation of the high-level spacecraft functional avionics system. The use case discussed in this article focusses on the Biomass model, a systems modeling language-based representation of the Biomass Earth-observation mission. The MBSE approach is used to calculate the required size of the data handling unit onboard the Biomass spacecraft. The functional response of the system in terms of the onboard memory usage throughout the mission is simulated. Traditionally, this level of analysis would not be available at this early stage. The approach aims to replace ad hoc, spreadsheet-based calculations with a formal representation of the system that can be executed, interrogated and quantified. The flexibility of this MBSE approach is demonstrated by applying changes to the Biomass project and assessing the time required to implement these changes in the Biomass model and propagate them through to the results of the simulation. The changes have been made independently of each other and include: changes to the logical architecture, changes to the functional definition, changes to the mission profile, and changes to the requirements. Potential areas for improvement regarding the structure of the Biomass model are highlighted and discussed.

show abstract

Enterprise modeling for CubeSats

Cited by 11 publications

References 11 publications

Rapid model-based inter-disciplinary design of a CubeSat mission

Rapid model-based inter-disciplinary design of a CubeSat mission

CubeSat Model Based System Engineering (MBSE) Reference Model - Application in the Concept Lifecycle Phase

Investigating the Flexibility of the MBSE Approach to the Biomass Mission

Contact Info

Product

Resources

About