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 language | English |
|---|---|
| Title of host publication | Proceedings - 2022 Chinese Automation Congress, CAC 2022 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1646-1650 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781665465335 |
| DOIs | |
| State | Published - 2022 |
| Event | 2022 Chinese Automation Congress, CAC 2022 - Xiamen, China Duration: 25 Nov 2022 → 27 Nov 2022 |
Publication series
| Name | Proceedings - 2022 Chinese Automation Congress, CAC 2022 |
|---|---|
| Volume | 2022-January |
Conference
| Conference | 2022 Chinese Automation Congress, CAC 2022 |
|---|---|
| Country/Territory | China |
| City | Xiamen |
| Period | 25/11/22 → 27/11/22 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- differential evolution algorithm
- mission planning
- on-orbit service
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