A CubeSat catalog design tool for a multi-agent architecture development framework

Jacobs, Monica; Selva, Daniel

doi:10.1109/aero.2015.7119240

Cited by 6 publications

(3 citation statements)

References 9 publications

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“…As relevant mentions, Schoz et al [16] discussed the topic of open source CubeSat design and NASA [17] provided a step-by-step guide on how to design a CubeSat mission. Lastly, Selva et al [18] created a similar model which also picks COTS components based on user introduced input, but it works only for a selected list of payload types while GC+ has the added value of being able to operate with different typologies of payloads. A limitation of the tool is the fact of performing CubeSat simulation with only one possible payload.…”

Section: Greatcube+ Structure and Methodologymentioning

confidence: 99%

GREATCUBE+: conceptual design tool for CubeSat’s design

Girardello

Scharlemann

2023

CEAS Space J

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CubeSats are a type of spacecraft which have become popular since the early 2000. They are known for their quick development time and low cost, when comparing them to larger satellites. However, there is a significant drawback which has been recorded during these years of operations, namely an high failure rate which turns almost half of them into space debris. The reasons behind these malfunctions are often attributed to flawed spacecraft design choices or failures of commercial off-the-shelf (COTS) products. To improve the design of CubeSats, several software tools for performing the conceptual design have been proposed. These tools are often limited in their capabilities and are not suitable for all types of CubeSat missions. To address this issue, the University of Applied Sciences Wiener Neustadt (FHWN) in cooperation with Technische Universität Dresden is developing a software tool called GREATCUBE+. Its goal is to increase the success rate of CubeSats by providing a satellite model which is composed of commercial-off-the-shelf (COTS) products backed up by empirical heritage, analytical proof, and numerical analysis. One of the main features of this tool is the ability of dealing with different typologies of payloads. GREATCUBE+ has been validated with various successful CubeSat missions and it provides design solutions with an accuracy of above 90% when it comes to CubeSat weights and volumes. Using this software, CubeSat design teams can proceed from the conceptual development to the testing and assembly phases quicker, hoping to result in higher quality CubeSats and fewer failures.

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Section: Greatcube+ Structure and Methodologymentioning

confidence: 99%

GREATCUBE+: conceptual design tool for CubeSat’s design

Girardello

Scharlemann

2023

CEAS Space J

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“…Table 1 concentrates the metrics considered based on [18] for the evaluation of ten frameworks commonly used in research and industry areas. They were selected that met the highest number of metrics compared to the others evaluated.…”

Section: Ingeniasmentioning

confidence: 99%

Framework proposal for adaptive mobile intelligent agents

2021

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Intelligent agents are computational entities which have elements that provide them with the ability to perceive and manipulate their environment: sensors and actuators. These are characterized by displaying various properties that adapt and achieve their objectives. Autonomy, learning, collaboration and reasoning are examples of these properties which together make them intelligent artificial entities. This article shows the development of a framework that has made it possible to speed-up the construction of a system of adaptive mobile intelligent agents, called SySAge. The system agents have integrated search and learning techniques for the execution of automated processes focused on solving search, classification and optimization problems. It has been found that through learning, the agents were able to estimate input parameters and apply them in estimating the shortest route in a graph, considering cost and penalty aspects. To determine the choice of search technique, a probabilistic selection was used. The autonomous behavior of each agent was appreciated through the various attempts to solve the search problem and not to focus the information acquired individually on a single agent.

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“…A CubeSat is affiliated with a class of miniaturized satellites, named nanosatellites, which are predominantly launched into the low Earth orbit (LEO) by utilizing a launch vehicle or being released directly from the International Space Station [1]. Prominent utilizations of CubeSat include the investigation of the deep space environment, observation of the Earth for analysis of meteorological changes or prospective natural disasters, and telecommunications [2].…”

Section: Introductionmentioning

confidence: 99%

Optimization of DLTS Hinges for the Assembly of the Solar Arrays of a Communication CubeSat

Katsouli,

Griffiths,

Langford

2024

Applied Sciences

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This paper demonstrates the analytical and numerical investigations for the obtainment of the predefined critical parameters of double-layer tape spring (DLTS) hinges. The DLTS hinge is utilized for the coupling between the solar panels to assist the accommodation and formulation of the assumed origami-based pattern of the solar arrays. They are examined for the assurance of safety, durability, non-permanent deformation, and stability from the stowed to the deployment configuration. Von Misses stress (σv) and steady-state moment simulations are investigated by varying the critical hinge design parameters of curvature radius (R), subtended angle (θ) and layer thickness (t). Two optimization models, Taguchi and response surface methodology/RSM, are utilized by employing the computational findings to obtain and validate the modified optimal geometric parameters within this analytical experiment. For the Taguchi method, the optimization of σv and the steady-state moment is accomplished with a t of 1.75–2.25 mm, R of 1.5–2.0 mm, and θ of 1–1.2°. Furthermore, the RSM model shows that the t, R, and θ parameters are determined to be 2.90 mm, 2 mm, and 1.35°, respectively. For optimization of the hinge design, both models should be considered for improved verification and accuracy of the results.

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A CubeSat catalog design tool for a multi-agent architecture development framework

Cited by 6 publications

References 9 publications

GREATCUBE+: conceptual design tool for CubeSat’s design

GREATCUBE+: conceptual design tool for CubeSat’s design

Framework proposal for adaptive mobile intelligent agents

Optimization of DLTS Hinges for the Assembly of the Solar Arrays of a Communication CubeSat

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