The DOI matches its Crossref record, with a small difference in title or year; the references it cites are not checked yet.
Autonomous Mission Planning for Multi-Agile Earth Observation Satellites Using Whale Optimization Algorithm
Abstract
In this paper, the whale optimization algorithm is used to realize the mission planning of Multi-Agile Earth Observation Satellites for multiple target points. First of all, in the face of the observation problem of mul ti-satellite multitarget points, the fitness function, which satisfies the constraints faced by satellites when observing target points, is proposed in this paper. Secondly, in order to solve the task allocation problem of Multi-satellite to Multi-target points, a task allocation method based on the maximal time window is proposed in this paper. Next, the new whale optimization algorithms that have emerged in recent years is introduced in this paper. Considering that there has been no research on applying this algorithm to the mission planning problem so far, this paper proposes a method to map its iterative formula from the real number domain to the observation sequence domain based on the iterative characteristics of the whale optimization algorithm. This method enables the whale optimization algorithm to realize the iteration of the satellite observation sequence. Finally, the effectiveness of the whale optimization algorithm in solving the multi-satellite multi-target points planning problem is verified by simulation experiments.
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The first category of point-target mission planning methods can only deal with small-scale point targets and greatly increases computational complexity as the number of point targets increases.
“The first category mission planning method can only deal with small scale point targets and greatly increases the computational complexity of the model, with a sharp increase in the number of point targets.”
From Integrated Imaging Mission Planning Modeling Method for Multi-Type Targets for Super-Agile Earth Observation Satellite (2022) · cites this paper as [2]
The first category of point-target mission planning methods directly treats each point target as an atomic task.
“The first category directly treats each point target as an atomic task [2, 9-14]”
From Integrated Imaging Mission Planning Modeling Method for Multi-Type Targets for Super-Agile Earth Observation Satellite (2022) · cites this paper as [2]
Citations
The citation lists haven’t been fetched yet
References 5 · Cited by 1
Research works printed but not linked: 9
- ding, 2019, Mission Scheduling for Agile Earth Observation Satellites Based on Genetic-Tabu Hybrid Algorithm[J], Aerospace Control and Application, 45, 27
- geng, 2020, Optimal Mission Planning with Task Clustering for Intensive Point Targets Observation of Staring Mode Agile Satellite[J], Control and Decision, 35, 613
- 10.1016/j.ast.2019.04.007 · DOI
- wang, 2018, Scheduling of Agile Satellites Based on an Improved Quantum Genetic Algorithm[J], Journal of Astronautics, 39, 1266
- 10.1016/j.advengsoft.2013.12.007 · DOI
- 10.1016/j.advengsoft.2016.01.008 · DOI
- 10.1016/j.ast.2019.03.054 · DOI
- 10.23919/ChiCC.2019.8865283 · DOI
- lema??tre, 2002, Selecting and scheduling observations of agile satellites[J], Aerospace Science and Technology, 6
Metadata
- Authors
- Gao, X., Zhang, H., Yu, T., Ma, G., & Gao, D.
- Affiliations
- Harbin Institute of Technology (CN)
- Beijing Institute of Control Engineering (CN)
- Southwest University (CN)
- Venue
- 2020 Chinese Automation Congress (CAC)
- Publisher
- IEEE
- Published
- 2020-11-06
- Pages
- 4102-4107
- OpenAlex
- W3129090686
- Cited by
- 1
- References
- 5
- Citations by year
- 2024: 1
- FWCI
- 0.00
- Type
- conference paper
- Language
- en
- Open access
- closed
- Licence
- Locations
- Chinese Automation Congress (publishedVersion)
- PolyPublie (École Polytechnique de Montréal) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Metaheuristic Optimization Algorithms Research
- Physical Sciences › Engineering › Aerospace Engineering › Satellite Communication Systems
- Physical Sciences › Engineering › Aerospace Engineering › Spacecraft Dynamics and Control
- Keywords
- autonomous mission planning, Earth observation satellites, whale optimization algorithm, fitness function design
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