Joint observation and transmission scheduling of multiple agile satellites with energy constraint using improved ACO algorithm

The problem of joint observation and transmission scheduling with energy constraint is very important, but has received limited attention so far. To address the joint scheduling problem considering energy consumption and supplement, a new constraint satisfaction model with energy constraint for mult...

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Bibliographic Details
Published inActa astronautica Vol. 230; pp. 92 - 103
Main Authors Shang, Minghao, Yuan, Ronggang, Song, Bin, Huang, Xuxing, Yang, Bin, Li, Shuang
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.05.2025
Subjects
Agile satellites
Ant colony optimization algorithm
Constraint satisfaction model
Energy constraint
Joint scheduling
Agile satellites
Constraint satisfaction model
Joint scheduling
Energy constraint
Ant colony optimization algorithm
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ISSN0094-5765
DOI10.1016/j.actaastro.2025.02.008

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Summary:The problem of joint observation and transmission scheduling with energy constraint is very important, but has received limited attention so far. To address the joint scheduling problem considering energy consumption and supplement, a new constraint satisfaction model with energy constraint for multiple agile satellites is established. Then a Local Search Enhanced Ant Colony Optimization with Multi-Knapsack Task Assignment (LSE-ACO-MKTA) algorithm is proposed, integrating observation, transmission, and charging into a unified planning framework. The algorithm employs a multi-knapsack-based task assignment strategy and local search enhanced ACO algorithm, significantly reducing the dimension of the original problem. The first simulation experiment validated the necessity of joint scheduling with energy constraint. After that, two comparative experiments were conducted to discuss the mechanism of local search and task assignment and then proved the efficiency of LSE-ACO-MKTA. •The necessity of joint observation and transmission scheduling considering the energy constraint is analyzed for the large-scale scheduling with long mission periods.•A new constraint satisfaction model for AEOS scheduling problem considering the energy constraint is established.•A hierarchical scheduling model with improved ant colony optimization algorithm is proposed for higher profit and efficiency.
ISSN:0094-5765
DOI:10.1016/j.actaastro.2025.02.008