A nanosatellite task scheduling framework to improve mission value using fuzzy constraints

Rigo, Cezar Antônio; Seman, Laio Oriel; Camponogara, Eduardo; Filho, Edemar Morsch; Bezerra, Eduardo Augusto

doi:10.1016/j.eswa.2021.114784

Cited by 15 publications

(13 citation statements)

References 50 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Our paper presents details regarding a new mathematical formulation for QoS of nanosatellites, which was formulated to account for the behavior of constellations. The proposed formulation extends on the limitations presented in the previous work of Rigo et al [ 9 ], whose constraints—despite accounting for the energy-aware behavior of the object—only considered a single nanosatellite. In this regard, it is possible to explore the Pareto-frontier achieved from a trade-off between individual and collective tasks (i.e., constellation tasks).…”

Section: Problem Statementmentioning

confidence: 96%

“…Rigo et al [ 9 ] proffer a concise model of which generality and energy constraints—irradiance and battery models considered—are distinguished features. The research presented in this paper extends on the formulation from [ 9 ] by covering constellation specificities, including dynamic priorities, and analyzing the problem in a multi-objective Pareto-optimality manner, therefore, delivering a general-purpose model applicable to CubeSat constellations planning, such as the Catarina constellation [ 5 ].…”

Section: Related Workmentioning

confidence: 99%

“…Although the single-satellite energy-constrained task scheduling problem has been addressed in the existing literature [ 9 ], this work approaches the constellation specifics in a novel way, since one may leverage this structure to improve the mission’s QoS by optimally distributing the tasks among satellites during an orbit.…”

Section: Introductionmentioning

confidence: 99%

“…The main contributions of this work are: A novel methodology for optimal task scheduling for constellation of nanosatellites, through a model that extends on that proposed by [ 9 ]; Concept development for aiding engineers in the constellation design phase; An analysis of the trade-off between individual and collective satellite tasks. …”

Section: Introductionmentioning

confidence: 99%

“…A novel methodology for optimal task scheduling for constellation of nanosatellites, through a model that extends on that proposed by [ 9 ];…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

An Energy-Aware Task Scheduling for Quality-of-Service Assurance in Constellations of Nanosatellites

Seman

Ribeiro

Rigo

et al. 2022

Sensors

Self Cite

View full text Add to dashboard Cite

When managing a constellation of nanosatellites, one may leverage this structure to improve the mission’s quality-of-service (QoS) by optimally distributing the tasks during an orbit. In this sense, this research proposes an offline energy-aware task scheduling problem formulation regarding the specifics of constellations, by considering whether the tasks are individual, collective, or stimulated to be redundant. By providing such an optimization framework, the idea of estimating an offline task schedule can serve as a baseline for the constellation design phase. For example, given a particular orbit, from the simulation of an irradiance model, the engineer can estimate how the mission value is affected by the inclusion or exclusion of individuals objects. The proposed model, given in the form of a multi-objective mixed-integer linear programming model, is illustrated in this work for several illustrative scenarios considering different sets of tasks and constellations. We also perform an analysis of the Pareto-optimal frontier of the problem, identifying the feasible trade-off points between constellation and individual tasks. This information can be useful to the decision-maker (mission operator) when planning the behavior in orbit.

show abstract

Section: Problem Statementmentioning

confidence: 96%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…A novel methodology for optimal task scheduling for constellation of nanosatellites, through a model that extends on that proposed by [ 9 ];…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

An Energy-Aware Task Scheduling for Quality-of-Service Assurance in Constellations of Nanosatellites

Seman

Ribeiro

Rigo

et al. 2022

Sensors

Self Cite

View full text Add to dashboard Cite

show abstract

On‐board energy scheduling optimization algorithm for nanosatellites

Martinez

Seman

Filho

et al. 2023

Circuit Theory & Apps

Self Cite

View full text Add to dashboard Cite

SummaryThis work proposes a real‐time and online energy scheduling optimization algorithm for nanosatellites operating with a direct energy transfer (DET) architecture. The goal of the algorithm is to optimize energy utilization by maximizing energy harvesting, meeting task deadlines and priorities, and ensuring a minimum quality of service (QoS) for the system. The algorithm is composed of a modified perturb and observe algorithm to reach the best energy efficiency point of the solar panels, a task prioritization algorithm to guarantee their times and minimum QoS, and a backpack optimization problem to maximize the energy efficiency of the satellite. To demonstrate the effectiveness of the proposed algorithm, simulations of a nanosatellite operating in a given orbit, attitude, and thermal parameters were conducted and compared to other task scheduling strategies. The results showed that the proposed energy scheduling algorithm had the best performance in terms of energy balance and average power consumption, with an energy balance up to 16% higher compared to the other tested strategies. This demonstrates the ability of the proposed algorithm to optimize power consumption and energy utilization, as well as efficiently schedule tasks to maximize energy harvesting. The proposed energy scheduling optimization algorithm has the potential to be a useful tool for the design and optimization of future satellite missions and could potentially guide the design of electrical power systems for new CubeSat missions operating with a DET architecture. The algorithm's ability to optimize energy utilization and ensure a minimum QoS for the system could improve the overall efficiency and performance of the satellite.

show abstract

How to achieve sustainable distribution in the fast fashion industry? An electric vehicle solution under the “vehicle-battery separation” mode

Huang

Gan

et al. 2023

Environ Dev Sustain

View full text Add to dashboard Cite

A nanosatellite task scheduling framework to improve mission value using fuzzy constraints

Cited by 15 publications

References 50 publications

An Energy-Aware Task Scheduling for Quality-of-Service Assurance in Constellations of Nanosatellites

An Energy-Aware Task Scheduling for Quality-of-Service Assurance in Constellations of Nanosatellites

On‐board energy scheduling optimization algorithm for nanosatellites

How to achieve sustainable distribution in the fast fashion industry? An electric vehicle solution under the “vehicle-battery separation” mode

Contact Info

Product

Resources

About