Resilient UAV swarm modeling and solving based on multi-domain collaborative method

SUN Qin; LI Hongxu; WANG Yuzhi; ZHOU Liping; ZHANG Yingchao

doi:10.7527/S1000-6893.2021.25340

ACTA AERONAUTICAET ASTRONAUTICA SINICA >

2022 , Vol. 43 >Issue 5: 325340 - 325340

DOI: https://doi.org/10.7527/S1000-6893.2021.25340

Electronics and Electrical Engineering and Control

Resilient UAV swarm modeling and solving based on multi-domain collaborative method

SUN Qin ,
LI Hongxu ,
WANG Yuzhi ,
ZHOU Liping ,
ZHANG Yingchao

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School of Systems Science and Engineering, Sun Yat-sen University, Guangzhou 510006, China

Received date: 2021-01-28

Revised date: 2021-04-13

Online published: 2021-06-18

Supported by

The Program of "One Hundred Talented Scholars" of Sun Yat-Sen University (190158)

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Abstract

To enhance the anti-interference ability of Unmanned Aerial Vehicle Swarm (UAVS) during the execution of mission, a multi-domain collaborative method is proposed, and its modeling and solution are carried out. At first, the recovery factor of resilient UAVS is improved. On this basis, the performance of the disturbed UAVS is improved by coordinating the non-important node from one swarm to replace the important node in the disturbed UAVS. Finally, the effectiveness of the proposed method is verified by simulation. The simulation results show that the proposed method can effectively restore the performance of the disturbed UAVS, making the performance value transcend the mission baseline, and ensuring the completion of the mission and enhancing the resilience of the UAVS. The research results provide a new way and method for UAVS cooperative operation.

Key words： resilience; unmanned aerial vehicle swarm (UAVS); multi-domain collaboration; modeling; mission baseline

Cite this article

SUN Qin , LI Hongxu , WANG Yuzhi , ZHOU Liping , ZHANG Yingchao . Resilient UAV swarm modeling and solving based on multi-domain collaborative method[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2022 , 43(5) : 325340 -325340 . DOI: 10.7527/S1000-6893.2021.25340

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