A Method of Surrounding Escapable Space Target by Combining Game with Optimization

Yanhao Liu; Haopin She; Bo Meng; Jianbin Huang

doi:10.23919/CCC58697.2023.10240109

A Method of Surrounding Escapable Space Target by Combining Game with Optimization

Yanhao Liu, Haopin She, Bo Meng, Jianbin Huang

School of Aerospace Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

The orbital pursuit-evasion game issue, as an important task form of space offensive and defensive confrontation, has great research significance. Aiming at the problem of multi-satellites rounding up an escapable target, a method combining game with optimization is proposed. The pursuing satellites and escapable target are regarded as two game sides in several decision-making cycles. Considers the expected purpose, fuel consumption and safety of both sides comprehensively to design their payoff functions. In order to reducing the value of their respective payoff functions, the maneuvering strategies of both sides are optimized based on the particle swarm optimization algorithm. The simulation result shows that this method can track and surround target for a long time, and support the space orbit game mission effectively.

Original language	English
Title of host publication	2023 42nd Chinese Control Conference, CCC 2023
Publisher	IEEE Computer Society
Pages	8088-8093
Number of pages	6
ISBN (Electronic)	9789887581543
DOIs	https://doi.org/10.23919/CCC58697.2023.10240109
Publication status	Published - 2023
Event	42nd Chinese Control Conference, CCC 2023 - Tianjin, China Duration: 24 Jul 2023 → 26 Jul 2023

Publication series

Name	Chinese Control Conference, CCC
Volume	2023-July
ISSN (Print)	1934-1768
ISSN (Electronic)	2161-2927

Conference

Conference	42nd Chinese Control Conference, CCC 2023
Country/Territory	China
City	Tianjin
Period	24/07/23 → 26/07/23

Keywords

Multiple satellites swarm
Particle swarm optimization
Pursuit-evasion game
Surrounding situation

Access to Document

10.23919/CCC58697.2023.10240109

Cite this

@inproceedings{ffd7e552b8a24c50b0b0a009b5216193,

title = "A Method of Surrounding Escapable Space Target by Combining Game with Optimization",

abstract = "The orbital pursuit-evasion game issue, as an important task form of space offensive and defensive confrontation, has great research significance. Aiming at the problem of multi-satellites rounding up an escapable target, a method combining game with optimization is proposed. The pursuing satellites and escapable target are regarded as two game sides in several decision-making cycles. Considers the expected purpose, fuel consumption and safety of both sides comprehensively to design their payoff functions. In order to reducing the value of their respective payoff functions, the maneuvering strategies of both sides are optimized based on the particle swarm optimization algorithm. The simulation result shows that this method can track and surround target for a long time, and support the space orbit game mission effectively.",

keywords = "Multiple satellites swarm, Particle swarm optimization, Pursuit-evasion game, Surrounding situation",

author = "Yanhao Liu and Haopin She and Bo Meng and Jianbin Huang",

note = "Publisher Copyright: {\textcopyright} 2023 Technical Committee on Control Theory, Chinese Association of Automation.; 42nd Chinese Control Conference, CCC 2023 ; Conference date: 24-07-2023 Through 26-07-2023",

year = "2023",

doi = "10.23919/CCC58697.2023.10240109",

language = "English",

series = "Chinese Control Conference, CCC",

publisher = "IEEE Computer Society",

pages = "8088--8093",

booktitle = "2023 42nd Chinese Control Conference, CCC 2023",

address = "United States",

}

Liu, Y, She, H, Meng, B & Huang, J 2023, A Method of Surrounding Escapable Space Target by Combining Game with Optimization. in 2023 42nd Chinese Control Conference, CCC 2023. Chinese Control Conference, CCC, vol. 2023-July, IEEE Computer Society, pp. 8088-8093, 42nd Chinese Control Conference, CCC 2023, Tianjin, China, 24/07/23. https://doi.org/10.23919/CCC58697.2023.10240109

A Method of Surrounding Escapable Space Target by Combining Game with Optimization. / Liu, Yanhao; She, Haopin; Meng, Bo et al.
2023 42nd Chinese Control Conference, CCC 2023. IEEE Computer Society, 2023. p. 8088-8093 (Chinese Control Conference, CCC; Vol. 2023-July).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A Method of Surrounding Escapable Space Target by Combining Game with Optimization

AU - Liu, Yanhao

AU - She, Haopin

AU - Meng, Bo

AU - Huang, Jianbin

PY - 2023

Y1 - 2023

N2 - The orbital pursuit-evasion game issue, as an important task form of space offensive and defensive confrontation, has great research significance. Aiming at the problem of multi-satellites rounding up an escapable target, a method combining game with optimization is proposed. The pursuing satellites and escapable target are regarded as two game sides in several decision-making cycles. Considers the expected purpose, fuel consumption and safety of both sides comprehensively to design their payoff functions. In order to reducing the value of their respective payoff functions, the maneuvering strategies of both sides are optimized based on the particle swarm optimization algorithm. The simulation result shows that this method can track and surround target for a long time, and support the space orbit game mission effectively.

AB - The orbital pursuit-evasion game issue, as an important task form of space offensive and defensive confrontation, has great research significance. Aiming at the problem of multi-satellites rounding up an escapable target, a method combining game with optimization is proposed. The pursuing satellites and escapable target are regarded as two game sides in several decision-making cycles. Considers the expected purpose, fuel consumption and safety of both sides comprehensively to design their payoff functions. In order to reducing the value of their respective payoff functions, the maneuvering strategies of both sides are optimized based on the particle swarm optimization algorithm. The simulation result shows that this method can track and surround target for a long time, and support the space orbit game mission effectively.

KW - Multiple satellites swarm

KW - Particle swarm optimization

KW - Pursuit-evasion game

KW - Surrounding situation

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U2 - 10.23919/CCC58697.2023.10240109

DO - 10.23919/CCC58697.2023.10240109

M3 - Conference contribution

AN - SCOPUS:85175577647

T3 - Chinese Control Conference, CCC

SP - 8088

EP - 8093

BT - 2023 42nd Chinese Control Conference, CCC 2023

PB - IEEE Computer Society

T2 - 42nd Chinese Control Conference, CCC 2023

Y2 - 24 July 2023 through 26 July 2023

ER -

A Method of Surrounding Escapable Space Target by Combining Game with Optimization

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