Comparative cost and utility analysis of monolith and fractionated spacecraft using failure and replacement Markov models

Dubos, Gregory F.; Saleh, Joseph H.

doi:10.1016/j.actaastro.2010.07.011

Cited by 27 publications

(10 citation statements)

References 18 publications

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“…As noted previously, all the benefits, survivability and others, provided by networking spacecraft on-orbit have to be carefully weighted against the costs and risk of doing so. Preliminary comparative analyses of cost and utility of SBN and monolith spacecraft can be found in Dubos and Saleh [19].…”

Section: Applications and Illustrative Resultsmentioning

confidence: 99%

“…By physically distributing functions in multiple orbiting modules wirelessly connected to each other, this new architecture allows the sharing of resources on-orbit, such as data processing, data storage, and downlinks. Preliminary analysis suggests that such an architecture, under certain conditions and despite some initial overhead, offers several advantages over the traditional monolith spacecraft design in terms of flexibility, responsiveness, and overall utility [19]. One of the initial motivations for the present work was to assess and benchmark the survivability of a fractionated architecture against that of a traditional monolith spacecraft.…”

Section: Introductionmentioning

confidence: 99%

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Interdependent Multi-Layer Networks: Modeling and Survivability Analysis with Applications to Space-Based Networks

Castet

Saleh

2013

PLoS ONE

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This article develops a novel approach and algorithmic tools for the modeling and survivability analysis of networks with heterogeneous nodes, and examines their application to space-based networks. Space-based networks (SBNs) allow the sharing of spacecraft on-orbit resources, such as data storage, processing, and downlink. Each spacecraft in the network can have different subsystem composition and functionality, thus resulting in node heterogeneity. Most traditional survivability analyses of networks assume node homogeneity and as a result, are not suited for the analysis of SBNs. This work proposes that heterogeneous networks can be modeled as interdependent multi-layer networks, which enables their survivability analysis. The multi-layer aspect captures the breakdown of the network according to common functionalities across the different nodes, and it allows the emergence of homogeneous sub-networks, while the interdependency aspect constrains the network to capture the physical characteristics of each node. Definitions of primitives of failure propagation are devised. Formal characterization of interdependent multi-layer networks, as well as algorithmic tools for the analysis of failure propagation across the network are developed and illustrated with space applications. The SBN applications considered consist of several networked spacecraft that can tap into each other's Command and Data Handling subsystem, in case of failure of its own, including the Telemetry, Tracking and Command, the Control Processor, and the Data Handling sub-subsystems. Various design insights are derived and discussed, and the capability to perform trade-space analysis with the proposed approach for various network characteristics is indicated. The select results here shown quantify the incremental survivability gains (with respect to a particular class of threats) of the SBN over the traditional monolith spacecraft. Failure of the connectivity between nodes is also examined, and the results highlight the importance of the reliability of the wireless links between spacecraft (nodes) to enable any survivability improvements for space-based networks.

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Section: Applications and Illustrative Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Interdependent Multi-Layer Networks: Modeling and Survivability Analysis with Applications to Space-Based Networks

Castet

Saleh

2013

PLoS ONE

Self Cite

View full text Add to dashboard Cite

show abstract

“…However, both methods are based on value-centric analysis, emphasizing that the nontraditional attributes of fractionated spacecraft outweigh mass and cost in the new space era. Another methodology to conduct the cost and utility comparisons between monolithic and fractionated spacecraft is using failure and Markov models, where the Monte-Carlo simulations are run and the impact of model parameters is investigated [14].…”

Section: Chu Guo and Gillmentioning

confidence: 99%

Functional, physical, and organizational architectures of a fractionated space infrastructure for long-term earth observation missions

Jing

Guo

Gill

2014

IEEE Aerosp. Electron. Syst. Mag.

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“…z can be translated into mixed integer inequalities according to P10 in Table 1. Finally, subject to the linear constraints above in an LTI discrete-time dynamics system, a broad range of systems can be modeled as following MLD form: 1 2 3 …”

Section: Logical Dynamical Systemsmentioning

confidence: 99%

“…Disregard the subsequent optimal input * * (1),..., ( 1) t t v v T− , and repeat the whole optimization procedure at time 1 t + . Note that ( ) t δ vectors are binary variables, so the optimization problem is a Mixed Integer Quadratic Programming (MIQP) problem.…”

Section: Ted Satellite Systemmentioning

confidence: 99%

Hybrid modeling and predictive control of a fractionated satellite system: A mixed logical dynamical approach

Shi

Liu

2013

2013 25th Chinese Control and Decision Conference (CCDC)

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Comparative cost and utility analysis of monolith and fractionated spacecraft using failure and replacement Markov models

Cited by 27 publications

References 18 publications

Interdependent Multi-Layer Networks: Modeling and Survivability Analysis with Applications to Space-Based Networks

Interdependent Multi-Layer Networks: Modeling and Survivability Analysis with Applications to Space-Based Networks

Functional, physical, and organizational architectures of a fractionated space infrastructure for long-term earth observation missions

Hybrid modeling and predictive control of a fractionated satellite system: A mixed logical dynamical approach

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