Integrated model-based systems engineering (MBSE) applied to the Simulation of a CubeSat mission

Kaslow, David; Soremekun, Grant; Kim, Hongman; Spangelo, Sara

doi:10.1109/aero.2014.6836317

Cited by 50 publications

(28 citation statements)

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“…Ref. 6 has an overview of phases 1, 2, and 3. The first phase of SSWG CubeSat project created a CubeSat Reference Model that was applied to the Radio Aurora Explorer (RAX), a 3U CubeSat developed by SRI International and the Michigan Exploration Laboratory at the University of Michigan.…”

Section: Cubesat Reference Model Developmentmentioning

confidence: 99%

“…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%

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

Kaslow

2015

AIAA SPACE 2015 Conference and Exposition

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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.

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Section: Cubesat Reference Model Developmentmentioning

confidence: 99%

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

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“…In this process, the SysML language can be used to analyse the product refinement process by the system engineering model method. Finally, the correctness of the logic in the design process is verified by the state diagram [4].…”

Section: Design and Manufacture Integrated Development Based On Modelmentioning

confidence: 99%

Aeronautics design and manufacture integrated enterprise model

Song

Yang

et al. 2017

MATEC Web Conf.

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Abstract. In order to realize the integration and concurrent of design and manufacture, enhance the efficiency of aircraft development enterprises, a model centre based design and manufacturing integrated enterprise model is proposed. The model centre consists of central system models, product models and process model. The design and manufacture integrated development model based on the unified model centre is discussed. Finally, a maturity control method supporting design and manufacturing integration is proposed.

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“…Model-based systems engineering (MBSE) is a useful tool for preliminary mission concept designs that has been used for many large missions in the past and has recently demonstrated success in small satellite design [23] for understanding the tradespace between conflicting design variables. Previous research on distributed satellite missions [24], [25] has treated satellite systems as modular information processing centers, used N2 diagrams to represent the iterative flow of information between subsystems and optimized performance for extremely simple metrics such as revisit time.…”

Section: Introductionmentioning

confidence: 99%

Simulation of Multiangular Remote Sensing Products Using Small Satellite Formations

Nag

Gatebe

Hilker

2017

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Abstract-To completely capture the multiangular reflectance of an opaque surface, one must estimate the bidirectional reflectance distribution function (BRDF), which seeks to represent variations in surface reflectance as a function of measurement and illumination angles at any time instant. The gap in angular sampling abilities of existing single satellites in Earth observation missions can be complemented by small satellites in formation flight. The formation would have intercalibrated spectrometer payloads making reflectance measurements, at many zenith and azimuthal angles simultaneously. We use a systems engineering tool coupled with a science evaluation tool to demonstrate the performance impact and mission feasibility. Formation designs are generated and compared to each other and multisensor single spacecraft, in terms of estimation error of BRDF and its dependent products such as albedo, light use efficiency (LUE), and normalized difference vegetation index (NDVI). Performance is benchmarked with respect to data from previous airborne campaigns (NASA's Cloud Absorption Radiometer), and tower measurements (AMSPEC II), and assuming known BRDF models. Simulations show that a formation of six small satellites produces lesser average error (21.82%) than larger single spacecraft (23.2%), purely in terms of angular sampling benefits. The average monolithic albedo error of 3.6% is outperformed by a formation of three satellites (1.86%), when arranged optimally and by a formation of seven to eight satellites when arranged in any way. An eight-satellite formation reduces albedo errors to 0.67% and LUE errors from 89.77% (monolithic) to 78.69%. The average NDVI for an eight satellite, nominally maintained formation is better than the monolithic 0.038.

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Integrated model-based systems engineering (MBSE) applied to the Simulation of a CubeSat mission

Cited by 50 publications

References 5 publications

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

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

Aeronautics design and manufacture integrated enterprise model

Simulation of Multiangular Remote Sensing Products Using Small Satellite Formations

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