Abstract
This paper describes the application of an evolutionary optimization method to design satellite constellation for continuous regional coverage without intersatellite links. This configuration, called mutual coverage, is related to some technical limitations that exist on small satellite technology. The coverage of the north Algerian seismological network is taken as an example of application. A Multi Objective Genetic Algorithm (MOGA) is used to make a trade-off between the improvement of the coverage rate, the minimization of the total number of satellites and the reduction of the satellites' altitude. First, some experiments have been performed to find the weight distribution of the fitness function that shows the most significant improvement of the average fitness function. Then, some optimized constellation designs are given for different ranges of altitude and it is shown that the size of the MOGA constellation design is significantly reduced compared to the traditional geometrical design.
Highlights
Designing a constellation of satellites for a given space mission is a complex multi-parametric optimization process
For a regional coverage problem, which is our object of study, Genetic Algorithms have been mostly employed compared to other methods
In order to maintain a continuous coverage of the ground stations and the data center, we consider that the satellites must insure continuously a mutual coverage of all the ground stations and the data center supposed to be within the same area
Summary
Designing a constellation of satellites for a given space mission is a complex multi-parametric optimization process. We introduce the design optimization process of constellations of small satellites for regional coverage without intersatellite links (ISLs). In order to maintain a continuous coverage of the ground stations and the data center, we consider that the satellites must insure continuously a mutual coverage of all the ground stations and the data center supposed to be within the same area Due to the fact that the existing geometrical models do not solve the mutual coverage design problem and most of them treat the instantaneous coverage of a single point on Earth, Section 3 is intended to describe the implementation of a genetic algorithm to design a constellation of satellites dedicated to provide a mutual coverage of a given region. The results obtained are compared with the traditional geometrical approach used in single point coverage
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: International Journal of Computational Intelligence Systems
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.