Collaboration among a satellite swarm

Bonnet, Grégory; Tessier, Catherine

doi:10.1145/1329125.1329189

Cited by 15 publications

(7 citation statements)

References 30 publications

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“…There are multiple applications where autonomous docking may be useful in the future, such as automated orbital construction [59], orbital repair [60] and resource sharing between collaborating satellite swarms [61]. Automated docking will be facilitated by machine learning models controlling the actuation of thrusters and attitude control.…”

Section: Example: Autonomous Dockingmentioning

confidence: 99%

Security-Minded Verification of Space Systems

Maple

Bradbury

Yuan

et al. 2020

2020 IEEE Aerospace Conference

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Section: Example: Autonomous Dockingmentioning

confidence: 99%

Security-Minded Verification of Space Systems

Maple

Bradbury

Yuan

et al. 2020

2020 IEEE Aerospace Conference

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“…Furthermore, interactions between two nodes in a distributed satellite mission heavily depend upon their orbital parameters. So much so that some task allocation approaches are even taking advantage of their intermittent and predictable communication processes …”

Section: Autonomymentioning

confidence: 99%

“…A notable exception is the one published in Refs. , These researchers from the French CNES and ONERA propose a cooperative framework based on a negotiation approach that actually takes advantage of the fact that orbits can be considered quasi‐periodic. With this primitive assumption, they designed a decentralized, on‐board planning scheme where satellites predict future interactions based on orbit period information.…”

Section: Mission Planning Systemsmentioning

confidence: 99%

“…So much so that some task allocation approaches are even taking advantage of their intermittent and predictable communication processes. 37 Therefore, autonomy is not conceived as an additional feature to implement but rather as the solution to operate such dynamic and In this scenario, autonomy in DSS is being studied under many perspectives. One of such perspectives understands autonomy as an integral characteristic of a DSS, like in the Autonomous Nano-Technology Swarm (ANTS) project by NASA.…”

Section: Autonomy In Dssmentioning

confidence: 99%

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Applying autonomy to distributed satellite systems: Trends, challenges, and future prospects

Araguz

Bou-Balust

Alarcón

2018

Systems Engineering

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While monolithic satellite missions still pose significant advantages in terms of accuracy and operations, novel distributed architectures are promising improved flexibility, responsiveness and adaptability to structural and functional changes. Large satellite swarms, opportunistic satellite networks or heterogeneous constellations hybridizing small-spacecraft nodes with high-performance satellites are becoming feasible and advantageous alternatives requiring the adoption of new operation paradigms that enhance their autonomy. While autonomy is a notion that is gaining acceptance in monolithic satellite missions, it can also be deemed an integral characteristic in Distributed Satellite Systems. In this context, this paper focuses on the motivations for system-level autonomy in DSS and justifies its need as an enabler of system qualities.Autonomy is also presented as a necessary feature to bring new distributed Earth observation functions (which require coordination and collaboration mechanisms) and to allow for novel structural functions (e.g. opportunistic coalitions, exchange of resources or in-orbit data services).Mission Planning and Scheduling frameworks (MPS) are then presented as a key component to * Corresponding author. E-mail addresses: {carles.araguz, elisenda.bou, eduard.alarcon}@upc.edu 1 implement autonomous operations in satellite missions. An exhaustive knowledge classification explores the design aspects of MPS for DSS, and conceptually groups them into: components and organizational paradigms; problem modeling and representation; optimization techniques and metaheuristics; execution and runtime characteristics; and the notions of tasks, resources and constraints. This paper concludes by proposing future strands of work devoted to study the tradeoffs of autonomy in large-scale, highly dynamic and heterogeneous networks through frameworks that consider some of the limitations of small spacecraft technologies.

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“…To date, agent-based satellite coordination research has included: resource allocation between on-board peripherals of individual satellites (processor and power allocation), autonomous coalition formation based upon negotiation mechanisms, and additional satellite-to-satellite coordination and resource sharing mechanisms to complete complex missions [4,6,13,5].…”

Section: Introductionmentioning

confidence: 99%

Evolving distributed resource sharing for cubesat constellations

Agogino

HolmesParker

Tumer

2012

Proceedings of the 14th Annual Conference on Genetic and Evolutionary Computation

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Advances in miniaturization will allow for the commoditization of tiny satellites, known as "CubeSats." This commoditization in addition to reducing price and increasing the numbers of satellites, will also result in the "democratization" of small space missions where numerous institutions can launch their own satellites. However, current algorithms made for small tightly-managed space missions are ill-designed to take advantage of the huge amount of resources available in a decentralized collection of CubeSats. We believe that multiagent evolutionary algorithms are ideally suited to exploit the distributed nature of this new problem. This paper presents a solution where a customer in need of satellite observations can reliably obtain these observations at low cost, through the help of a multiagent system as an intermediary. Each agent in this system is assigned to a single CubeSat. Given a set of the customer's observational needs, and models of the CubeSats' salient properties, the agents evolve policies that attempt to purchase an appropriate set of observations at a low price. This system is especially flexible as it demands no centralized resource broker, contracts or commitments of resources. We perform a series of experiments on an Earth-observation domain. The results show that the evolutionary methods combined with multiagent techniques have three times the performance of a simple hand-coded allocation algorithm, and twice the performance of simple evolving agents.

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Collaboration among a satellite swarm

Cited by 15 publications

References 30 publications

Security-Minded Verification of Space Systems

Security-Minded Verification of Space Systems

Applying autonomy to distributed satellite systems: Trends, challenges, and future prospects

Evolving distributed resource sharing for cubesat constellations

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