Battery-Aware Scheduling in Low Orbit: The GomX–3 Case

Bisgaard, Morten; Gerhardt, David; Hermanns, Holger; Krčál, Jan; Nies, Gilles; Stenger, Marvin

doi:10.1007/978-3-319-48989-6_34

Cited by 23 publications

(10 citation statements)

References 8 publications

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“…However, accurate power budget modeling requires a profound understanding and correct extrapolation of the battery behaviour, which is known to be non-linear. In this sense, authors had addressed the battery-aware task scheduling problem for LEO satellites using detailed battery models [23], [24], but the proposed approach assumed a single (non-networked) satellite. Indeed, the impact on the battery charge of inter-satellite transponders used for inorbit networking has far been disregarded.…”

Section: Introductionmentioning

confidence: 99%

Battery-Aware Contact Plan Design for LEO Satellite Constellations: The Ulloriaq Case Study

Fraire

Nies

Gerstacker

et al. 2020

IEEE Trans. on Green Commun. Netw.

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Power demands of communication technologies between LEO small-satellites are difficult to counterbalance by solar infeed and on-board battery storage, due to size and weight limitations. This makes the problem of battery-powered intersatellite communication a very difficult one. Its management requires a profound understanding as well as techniques for a proper extrapolation of the electric power budget as part of the inter-satellite and satellite-to-ground communication design. We discuss how the construction of contact plans in delay tolerant networking can profit from a sophisticated model of the on-board battery behavior. This model accounts for both nonlinearities in battery behavior as well as stochastic fluctuations in charge, so as to control the risk of battery depletion. We take an hypothetical Ulloriaq constellation based on the GOMX-4 satellites from GomSpace as a reference for our studies.

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Section: Introductionmentioning

confidence: 99%

Battery-Aware Contact Plan Design for LEO Satellite Constellations: The Ulloriaq Case Study

Fraire

Nies

Gerstacker

et al. 2020

IEEE Trans. on Green Commun. Netw.

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“…Achieving such an ambitious objective will depend on the successful interaction between the space industry and state‐of‐the‐art research on informatics. Among others, in‐orbit satellites such as the GomX–4A and GomX–4B satellites from GomSpace are pioneering efficient space‐terrestrial communication techniques based on extensive support from scheduling computation on ground 3‐6 …”

Section: Introductionmentioning

confidence: 99%

“…Moreover, recent work by the authors have introduced battery‐awareness constraints 5,6 . Results showed that it is crucial to have detailed knowledge on how much power is drained for GSLs and ISLs, especially when in eclipse, where on‐board batteries possibly end up in critically low states of charge 3,4 . Early versions of a Mixed‐Integer Linear Programming (MILP) model computed and designed optimal transponder's duty cycle for a LEO constellation of GomX–4 satellites 5,6 …”

Section: Introductionmentioning

confidence: 99%

On the scalability of battery‐aware contact plan design for LEO satellite constellations

Fraire

Gerstacker

Hermanns

et al. 2020

Satell Commun Network

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Summary Size and weight limitations of low‐Earth orbit (LEO) small satellites make their operation rest on a fine balance between solar power infeed and power demands of supporting communication technologies, buffered by on‐board battery storage. As a result, the problem of planning battery‐powered intersatellite communication is a very difficult one. Nevertheless, there is a growing trend toward constellations and mega‐constellations that are to be managed using sophisticated software support. In earlier work, we have discussed how the effective construction of contact plans in delay‐tolerant satellite networking can profit from a refined model of the on‐board battery behavior. This paper presents a profound study of the scalability of the approach and discusses how to tailor it to the needs arising in the management of mega‐constellations, together with a variety of improvements to the base approach. Results show that efficient mega‐constellation operations are compromised, encouraging further research on the area.

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“…Many safety-critical systems can be modeled as nonlinear ordinary differential equations (ODEs) which exhibit uncertain parameters due to finite precision measurements, lack of data, or noise [5]. In order to formally decide whether such a system is safe, it is necessary to determine whether the model can reach a bad state [14,9,36]. Since closed-form expressions for reachable sets of nonlinear ODE systems are not known in general [35], it becomes necessary to over-and under-approximate the reachable set.…”

Section: Introductionmentioning

confidence: 99%

UTOPIC: Under-Approximation Through Optimal Control

Doncel

Gast²,

Tribastone

et al. 2019

Quantitative Evaluation of Systems

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We consider a class of nonlinear systems of differential equations with uncertainties, i.e., with lack of knowledge in some of the parameters that is represented by a time-varying unknown bounded functions. An under-approximation of such systems consists of a subset of its reachable set, for any value of the unknown parameters. By relying on optimal control theory through Pontryagin's principle, we provide an algorithm for the under-approximation of a linear combination of the state variables in terms of a fully automated tool-chain named UTOPIC. This allows to establish tight under-approximations of common benchmarks models with dimensions as large as sixty-five.

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Battery-Aware Scheduling in Low Orbit: The GomX–3 Case

Cited by 23 publications

References 8 publications

Battery-Aware Contact Plan Design for LEO Satellite Constellations: The Ulloriaq Case Study

Battery-Aware Contact Plan Design for LEO Satellite Constellations: The Ulloriaq Case Study

On the scalability of battery‐aware contact plan design for LEO satellite constellations

UTOPIC: Under-Approximation Through Optimal Control

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