Optimal mission planning of active space debris removal based on genetic algorithm Article Swipe
YOU?
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· 2020
· Open Access
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· DOI: https://doi.org/10.1088/1757-899x/715/1/012025
With the increasing space activities, the space debris has seriously deteriorated the safe performance of the on-orbit spacecraft and has attracted much attentions. To reduce the rising influence of the space debris and improve the safe performance of the space mission, the three-stage removal strategy for space debris is proposed in this paper. Firstly, the multiple spacecrafts including one main spacecraft and some following spacecraft for space debris removal mission is developed. Then, the fuel, time and the quantity of the following spacecraft are defined as the constraints. Moreover, using the minimum fuel consumption as the optimal object, the mathematical model of the debris removal problem is established. Finally, the genetic algorithm is applied to solve this problem. Compared with the prior space debris removal strategy, the proposed three-stage space debris removal can effectively reduce the fuel consumption. Numerical simulation verifies the effectiveness of the proposed space debris removal scheme.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1088/1757-899x/715/1/012025
- OA Status
- diamond
- Cited By
- 6
- References
- 8
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2998405407
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2998405407Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1088/1757-899x/715/1/012025Digital Object Identifier
- Title
-
Optimal mission planning of active space debris removal based on genetic algorithmWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-01-01Full publication date if available
- Authors
-
Yang Chen, Yuzhu Bai, Yong Zhao, Yi Wang, Xiaoqian ChenList of authors in order
- Landing page
-
https://doi.org/10.1088/1757-899x/715/1/012025Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1088/1757-899x/715/1/012025Direct OA link when available
- Concepts
-
Space debris, Spacecraft, Debris, Aerospace engineering, Genetic algorithm, Computer science, Fuel efficiency, Space (punctuation), Orbit (dynamics), Space exploration, Space environment, Environmental science, Simulation, Algorithm, Engineering, Physics, Meteorology, Geophysics, Machine learning, Operating systemTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
6Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1, 2024: 1, 2023: 2, 2021: 2Per-year citation counts (last 5 years)
- References (count)
-
8Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| primary_location.raw_source_name | IOP Conference Series: Materials Science and Engineering |
| primary_location.landing_page_url | https://doi.org/10.1088/1757-899x/715/1/012025 |
| publication_date | 2020-01-01 |
| publication_year | 2020 |
| referenced_works | https://openalex.org/W2005265972, https://openalex.org/W2069277835, https://openalex.org/W2075403767, https://openalex.org/W2038328048, https://openalex.org/W1983639392, https://openalex.org/W2063537610, https://openalex.org/W2150925240, https://openalex.org/W2055519442 |
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