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On-orbit Service Mission Planning for Satellites Based on Improved Differential Evolution Algorithm

  • Harbin Institute of Technology
  • Aerospace System Engineering Shanghai

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

To solve the on-orbit service mission planning problem for satellites under multiple constraints, an improved differential evolution algorithm is proposed. Firstly, the mathematical model of on-orbit service mission planning is established by taking energy consumption and time as the objective function, at the same time, taking the service requirements of target satellites into account. Then, in order to overcome the defect that the differential evolution algorithm is easy to fall into local optimization, an improved multi-strategy coevolutionary differential evolution algorithm is presented. Finally, through comparative analysis of simulation results, it shows that this method can effectively give a reasonable planning result.

Original languageEnglish
Title of host publicationProceedings - 2022 Chinese Automation Congress, CAC 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1646-1650
Number of pages5
ISBN (Electronic)9781665465335
DOIs
StatePublished - 2022
Event2022 Chinese Automation Congress, CAC 2022 - Xiamen, China
Duration: 25 Nov 202227 Nov 2022

Publication series

NameProceedings - 2022 Chinese Automation Congress, CAC 2022
Volume2022-January

Conference

Conference2022 Chinese Automation Congress, CAC 2022
Country/TerritoryChina
CityXiamen
Period25/11/2227/11/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • differential evolution algorithm
  • mission planning
  • on-orbit service

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