Task scheduling for optimal power management and quality-of-service assurance in CubeSats

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

doi:10.1016/j.actaastro.2020.11.016

Cited by 27 publications

(11 citation statements)

References 31 publications

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“…The coupling between task scheduling and QoS in a CubeSat mission was addressed by Rigo et al 24,25 The first paper presented an Integer Programming (IP) formulation to optimize the number of tasks executed by a nanosatellite while being constrained by the power available minute by minute and the duration of an orbit. The paper did not have a battery model, and the task optimization was performed for just one orbit and a single period.…”

Section: Related Workmentioning

confidence: 99%

On‐board energy scheduling optimization algorithm for nanosatellites

Martinez

Seman

Filho

et al. 2023

Circuit Theory & Apps

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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.

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Section: Related Workmentioning

confidence: 99%

On‐board energy scheduling optimization algorithm for nanosatellites

Martinez

Seman

Filho

et al. 2023

Circuit Theory & Apps

Self Cite

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“…Therefore, task scheduling strategies in SmallSats can be strongly related to energy harvesting from PV, optimal power management, efficiency, and quality-of-service assurance [46]. Moreover, tasks are formulated based on the number of duties, task priority, the maximum and minimum duration of the task, and execution time [47].…”

Section: Electrical Power System and Architecturesmentioning

confidence: 99%

A Comprehensive Review on Small Satellite Microgrids

Yaqoob

Lashab

Vasquez

et al. 2022

IEEE Trans. Power Electron.

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The Small Satellite (SmallSat) industry has recorded incredible growth recently. Within this class, among Mini-, Micro-, and Nanosatellites, the Cube Satellite (CubeSat) is primed for an explosion of growth. These satellites are fascinating for remote sensing, earth observation, and scientific applications. Remarkable attention from the space operators makes it valuable because of its low cost, cubic shape, less manufacturing time, lightweight, and modular structure. Among the various subsystems comprising the SmallSat, the Electrical Power System (EPS) is the most crucial one because unreliable power supply to the rest is most of the time detrimental to the mission. The EPS is formed by electrical sources, storage units, and loads, all interconnected via different power converters, the operation of which must be closely orchestrated to accomplish efficient use of photovoltaic power, optimal battery management, and resilient power delivery. At the same time, the EPS design must address a series of challenges such as size restrictions, high power density, harsh space environments (e.g., atomic oxygen, radiation, and extreme temperatures) which significantly impact the EPS electrical and electronic equipment. In terms of power systems, a SmallSat EPS can be considered a space microgrid owing coordination and control of distributed generation (DG), storage and loads in a small-scale electrical network. From this point of view, this paper reviews and explores SmallSat microgrid's research developments, energy transfer and architectures, converter topologies, latest technologies, main challenges, and some potential solutions which will enable building a more robust, resilient, and efficient EPS. The research gaps and future developments are underlined before the paper is concluded.

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“…Though available, traditional satelliteby-satellite operations and commercial solutions often fall short of meeting the intricate requirements of this evolving landscape. As the focus of current operations management research tends to gravitate toward EO missions, tailored solutions are needed to effectively address the distinct challenges of the telecom use case within the New Space paradigm [12]. Therefore, the authors proposed an autonomous and reactive constellation management system, integrated with the 6th Generation (6G) Core Network (CN) to enhance the NTN architecture by extending IoT roaming services with a LEO satellite constellation using S&F. This innovative system and its architecture referred to as the Constellation Management System (CMS), is described in [13].…”

Section: Introductionmentioning

confidence: 99%

Enhancing Satellite Non-Terrestrial Networks Through Advanced Constellation Management: Optimizing In-Orbit Resources for NB-IoT

Singla,

Calveras,

Betorz

et al. 2024

IEEE Open J. Commun. Soc.

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This paper presents a novel autonomous management system for satellite-based Non-Terrestrial Networks (NTN). It addresses the challenges of managing the operations of Low Earth Orbit (LEO) constellations for the Internet of Things (IoT), emphasizing intermittent connectivity and resource constraints. This work contributes with the description of the scheduler module alongside a customized formulation of a novel multi-objective optimization problem and its associated mathematical framework. The resultant optimization algorithm is elaborated. This Constellation Management System (CMS) is validated through a real-world scenario, revealing substantial improvements of up to 40% in task assignment and throughput rates when compared to a best-effort baseline. This study underscores the CMS's potential to enhance IoT communication with LEO constellations through resource-efficient and business-aware satellite operations scheduling.

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Task scheduling for optimal power management and quality-of-service assurance in CubeSats

Cited by 27 publications

References 31 publications

On‐board energy scheduling optimization algorithm for nanosatellites

On‐board energy scheduling optimization algorithm for nanosatellites

A Comprehensive Review on Small Satellite Microgrids

Enhancing Satellite Non-Terrestrial Networks Through Advanced Constellation Management: Optimizing In-Orbit Resources for NB-IoT

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