On-Board Decentralized Observation Planning for LEO Satellite Constellations-Reference-Cited by-同舟云学术

On-Board Decentralized Observation Planning for LEO Satellite Constellations

Published:2023-02-14 Issue:2 Volume:16 Page:114
ISSN:1999-4893
Container-title:Algorithms
language:en
Short-container-title:Algorithms

Author:

Song Bingyu¹,Chen Yingwu¹,Yang Qing¹,Zuo Yahui¹,Xu Shilong¹,Chen Yuning¹

Affiliation:

1. College of Information System and Management, National University of Defense Technology, Changsha 410073, China

Abstract

The multi-satellite on-board observation planning (MSOOP) is a variant of the multi-agent task allocation problem (MATAP). MSOOP is used to complete the observation task allocation in a fully cooperative mode to maximize the profits of the whole system. In this paper, MSOOP for LEO satellite constellations is investigated, and the decentralized algorithm is exploited for solving it. The problem description of MSOOP for LEO satellite constellations is detailed. The coupled constraints make MSOOP more complex than other task allocation problems. The improved Consensus-Based Bundle Algorithm (ICBBA), which includes a bundle construction phase and consensus check phase, is proposed. A constraint check and a mask recovery are introduced into bundle construction and consensus check to handle the coupled constraints. The fitness function is adjusted to adapt to the characteristics of different scenes. Experimental results on series instances demonstrate the effectiveness of the proposed algorithm.

Funder

National Natural Science Foundation of China

Publisher

MDPI AG

Subject

Computational Mathematics,Computational Theory and Mathematics,Numerical Analysis,Theoretical Computer Science

Link

https://www.mdpi.com/1999-4893/16/2/114/pdf

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