Development of a scheduling algorithm and GUI for autonomous satellite missions

Baek, Seungwoo; Han, Sun-mi; Cho, Kyeum-Rae; Lee, Dae-woo; Yang, Jangsik; Bainum, Peter M.; Kim, Hae-Dong

doi:10.1016/j.actaastro.2010.08.011

Cited by 64 publications

(43 citation statements)

References 2 publications

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“…The algorithms used in Refs. , , , , , all solve optimization problems, usually with multiple objectives. The Capacity Analysis and Mission Planning Tool developed by DEIMOS calculates the most optimum sequence of observations and allows the end‐user to decide the type of figure of merit that feeds the sequencer in order to fully suit the mission needs.…”

Section: Mission Planning Systemsmentioning

confidence: 99%

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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Section: Mission Planning Systemsmentioning

confidence: 99%

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

Araguz

Bou-Balust

Alarcón

2018

Systems Engineering

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“…There are other similar publications [1,17] that delve into effective operation schemes, but they are all focused on optimal http://dx.doi.org/10.1016/j.ast.2014. 10 Coverage percentage s N s Cipher for binary conversion of incidence angle satnum Satellite number t Analysis time t 1 Analysis start time ( Set of satellite number accessed and the number of accumulated accesses at each node p binarized a,b…”

Section: Introductionmentioning

confidence: 97%

“…10 Coverage percentage s N s Cipher for binary conversion of incidence angle satnum Satellite number t Analysis time t 1 Analysis start time ( Set of satellite number accessed and the number of accumulated accesses at each node p binarized a,b…”

Section: Introductionmentioning

confidence: 99%

Mission scheduling optimization of SAR satellite constellation for minimizing system response time

Kim

Chang

2015

Aerospace Science and Technology

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“…US Air Force Satellite Operation Control Center used genetic algorithms to arrange multi-satellite observation missions [4]. Baek et al used genetic algorithms for satellite scheduling [5]. AGI's STK Scheduler software package also provided a range of optimization algorithms such as neural networks, One-pass algorithm and Multi-pass algorithm [6].…”

Section: Introductionmentioning

confidence: 99%

A method of distributed multi-satellite mission scheduling based on improved contract net protocol

Feng

Chen

Peng

et al. 2015

2015 11th International Conference on Natural Computation (ICNC)

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With the increasing number of earth observing satellites and the growing demand for remote sensing data, satellite mission scheduling is undergoing a change from the traditional off-line mode to on-line mode. To overcome difficulties in handling large quantities of satellites and large-scale scenes by the current on-line multi-satellite mission scheduling method, we establish the mathematical model, design the computation framework based on multi-agent system contract net protocol.Then we put forward a load reduction method based on mean shift clustering for satellite scheduling agent and a bid evaluation method based on genetic algorithm for central cooperating agent.Finally, Experimental results are used to demonstrate the feasibility and effectiveness of the algorithms.

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Development of a scheduling algorithm and GUI for autonomous satellite missions

Cited by 64 publications

References 2 publications

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

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

Mission scheduling optimization of SAR satellite constellation for minimizing system response time

A method of distributed multi-satellite mission scheduling based on improved contract net protocol

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