Launch Time Sequence Planning for Ballistic Missles Based on Improved PSO Algorithm

Zhuoqiao Yang; Xiangdong Liu; Haikuo Liu

doi:10.1007/978-981-19-6613-2_153

Launch Time Sequence Planning for Ballistic Missles Based on Improved PSO Algorithm

Zhuoqiao Yang, Xiangdong Liu, Haikuo Liu^*

^*Corresponding author for this work

School of Automation

Beijing Institute of Technology

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

Abstract

This paper studies the problem of launching time planning for ballistic missiles. A trajectory cross-detection algorithm and a launch time constraint set are constructed, respectively. Moreover, a launch time optimization model is presented, and two methods, nonlinear programming and improved particle swarm optimization (PSO) algorithm are designed based on the model. Finally, the numerical simulations of the designed algorithm are carried out, and comparative analysis is performed. The results show the effectiveness of the algorithm, and it has a smaller impact time spread and better computational efficiency.

Original language	English
Title of host publication	Advances in Guidance, Navigation and Control - Proceedings of 2022 International Conference on Guidance, Navigation and Control
Editors	Liang Yan, Haibin Duan, Yimin Deng, Liang Yan
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	1558-1569
Number of pages	12
ISBN (Print)	9789811966125
DOIs	https://doi.org/10.1007/978-981-19-6613-2_153
Publication status	Published - 2023
Event	International Conference on Guidance, Navigation and Control, ICGNC 2022 - Harbin, China Duration: 5 Aug 2022 → 7 Aug 2022

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	845 LNEE
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	International Conference on Guidance, Navigation and Control, ICGNC 2022
Country/Territory	China
City	Harbin
Period	5/08/22 → 7/08/22

Keywords

Collision avoidance
Coordinated attack
Dual-Fitness PSO algorithm

Access to Document

10.1007/978-981-19-6613-2_153

Cite this

Yang, Z., Liu, X., & Liu, H. (2023). Launch Time Sequence Planning for Ballistic Missles Based on Improved PSO Algorithm. In L. Yan, H. Duan, Y. Deng, & L. Yan (Eds.), Advances in Guidance, Navigation and Control - Proceedings of 2022 International Conference on Guidance, Navigation and Control (pp. 1558-1569). (Lecture Notes in Electrical Engineering; Vol. 845 LNEE). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-19-6613-2_153

Yang, Zhuoqiao ; Liu, Xiangdong ; Liu, Haikuo. / Launch Time Sequence Planning for Ballistic Missles Based on Improved PSO Algorithm. Advances in Guidance, Navigation and Control - Proceedings of 2022 International Conference on Guidance, Navigation and Control. editor / Liang Yan ; Haibin Duan ; Yimin Deng ; Liang Yan. Springer Science and Business Media Deutschland GmbH, 2023. pp. 1558-1569 (Lecture Notes in Electrical Engineering).

@inproceedings{c41b53cac2954814afcd12b17301b433,

title = "Launch Time Sequence Planning for Ballistic Missles Based on Improved PSO Algorithm",

abstract = "This paper studies the problem of launching time planning for ballistic missiles. A trajectory cross-detection algorithm and a launch time constraint set are constructed, respectively. Moreover, a launch time optimization model is presented, and two methods, nonlinear programming and improved particle swarm optimization (PSO) algorithm are designed based on the model. Finally, the numerical simulations of the designed algorithm are carried out, and comparative analysis is performed. The results show the effectiveness of the algorithm, and it has a smaller impact time spread and better computational efficiency.",

keywords = "Collision avoidance, Coordinated attack, Dual-Fitness PSO algorithm",

author = "Zhuoqiao Yang and Xiangdong Liu and Haikuo Liu",

note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; International Conference on Guidance, Navigation and Control, ICGNC 2022 ; Conference date: 05-08-2022 Through 07-08-2022",

year = "2023",

doi = "10.1007/978-981-19-6613-2_153",

language = "English",

isbn = "9789811966125",

series = "Lecture Notes in Electrical Engineering",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "1558--1569",

editor = "Liang Yan and Haibin Duan and Yimin Deng and Liang Yan",

booktitle = "Advances in Guidance, Navigation and Control - Proceedings of 2022 International Conference on Guidance, Navigation and Control",

address = "Germany",

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Yang, Z, Liu, X & Liu, H 2023, Launch Time Sequence Planning for Ballistic Missles Based on Improved PSO Algorithm. in L Yan, H Duan, Y Deng & L Yan (eds), Advances in Guidance, Navigation and Control - Proceedings of 2022 International Conference on Guidance, Navigation and Control. Lecture Notes in Electrical Engineering, vol. 845 LNEE, Springer Science and Business Media Deutschland GmbH, pp. 1558-1569, International Conference on Guidance, Navigation and Control, ICGNC 2022, Harbin, China, 5/08/22. https://doi.org/10.1007/978-981-19-6613-2_153

Launch Time Sequence Planning for Ballistic Missles Based on Improved PSO Algorithm. / Yang, Zhuoqiao; Liu, Xiangdong; Liu, Haikuo.
Advances in Guidance, Navigation and Control - Proceedings of 2022 International Conference on Guidance, Navigation and Control. ed. / Liang Yan; Haibin Duan; Yimin Deng; Liang Yan. Springer Science and Business Media Deutschland GmbH, 2023. p. 1558-1569 (Lecture Notes in Electrical Engineering; Vol. 845 LNEE).

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

TY - GEN

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AU - Yang, Zhuoqiao

AU - Liu, Xiangdong

AU - Liu, Haikuo

PY - 2023

Y1 - 2023

N2 - This paper studies the problem of launching time planning for ballistic missiles. A trajectory cross-detection algorithm and a launch time constraint set are constructed, respectively. Moreover, a launch time optimization model is presented, and two methods, nonlinear programming and improved particle swarm optimization (PSO) algorithm are designed based on the model. Finally, the numerical simulations of the designed algorithm are carried out, and comparative analysis is performed. The results show the effectiveness of the algorithm, and it has a smaller impact time spread and better computational efficiency.

AB - This paper studies the problem of launching time planning for ballistic missiles. A trajectory cross-detection algorithm and a launch time constraint set are constructed, respectively. Moreover, a launch time optimization model is presented, and two methods, nonlinear programming and improved particle swarm optimization (PSO) algorithm are designed based on the model. Finally, the numerical simulations of the designed algorithm are carried out, and comparative analysis is performed. The results show the effectiveness of the algorithm, and it has a smaller impact time spread and better computational efficiency.

KW - Collision avoidance

KW - Coordinated attack

KW - Dual-Fitness PSO algorithm

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SN - 9789811966125

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BT - Advances in Guidance, Navigation and Control - Proceedings of 2022 International Conference on Guidance, Navigation and Control

A2 - Yan, Liang

A2 - Duan, Haibin

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PB - Springer Science and Business Media Deutschland GmbH

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Yang Z, Liu X, Liu H. Launch Time Sequence Planning for Ballistic Missles Based on Improved PSO Algorithm. In Yan L, Duan H, Deng Y, Yan L, editors, Advances in Guidance, Navigation and Control - Proceedings of 2022 International Conference on Guidance, Navigation and Control. Springer Science and Business Media Deutschland GmbH. 2023. p. 1558-1569. (Lecture Notes in Electrical Engineering). doi: 10.1007/978-981-19-6613-2_153