Multi-UAV mission planning method

Tianyu Huang; Yue Wang; Xiaowen Cao; Dongfang Xu

doi:10.1109/ICUS50048.2020.9274958

Multi-UAV mission planning method

Tianyu Huang, Yue Wang, Xiaowen Cao, Dongfang Xu

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

12 Citations (Scopus)

Abstract

Compared with the single UAV system, multi-UAV cooperative system has the advantage in multiple complex tasks. This paper mainly focuses on the modeling of the constraints and studies the algorithms in the cooperative mission planning problem. Firstly, based on the constraint of time, UAV attributes and target attributes, the cooperative task assignment and cooperative resource allocation are modeled respectively. Then the genetic algorithm which solves the task assignment problem and the simulated annealing algorithm which solves the resource allocation problem are proposed. Finally, the simulation of cooperative mission planning is carried out, and the results show that the two algorithms can be used to solve the multi-UAV mission planning problem with complex space-time constraints.

Original language	English
Title of host publication	Proceedings of 2020 3rd International Conference on Unmanned Systems, ICUS 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	325-330
Number of pages	6
ISBN (Electronic)	9781728180250
DOIs	https://doi.org/10.1109/ICUS50048.2020.9274958
Publication status	Published - 27 Nov 2020
Event	3rd International Conference on Unmanned Systems, ICUS 2020 - Harbin, China Duration: 27 Nov 2020 → 28 Nov 2020

Publication series

Name	Proceedings of 2020 3rd International Conference on Unmanned Systems, ICUS 2020

Conference

Conference	3rd International Conference on Unmanned Systems, ICUS 2020
Country/Territory	China
City	Harbin
Period	27/11/20 → 28/11/20

Keywords

Genetic algorithm
Mission planning
Simulated annealing algorithm

Access to Document

10.1109/ICUS50048.2020.9274958

Cite this

Huang, T., Wang, Y., Cao, X., & Xu, D. (2020). Multi-UAV mission planning method. In Proceedings of 2020 3rd International Conference on Unmanned Systems, ICUS 2020 (pp. 325-330). Article 9274958 (Proceedings of 2020 3rd International Conference on Unmanned Systems, ICUS 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICUS50048.2020.9274958

@inproceedings{b14db813bf9a4002a3a09c434f487b95,

title = "Multi-UAV mission planning method",

abstract = "Compared with the single UAV system, multi-UAV cooperative system has the advantage in multiple complex tasks. This paper mainly focuses on the modeling of the constraints and studies the algorithms in the cooperative mission planning problem. Firstly, based on the constraint of time, UAV attributes and target attributes, the cooperative task assignment and cooperative resource allocation are modeled respectively. Then the genetic algorithm which solves the task assignment problem and the simulated annealing algorithm which solves the resource allocation problem are proposed. Finally, the simulation of cooperative mission planning is carried out, and the results show that the two algorithms can be used to solve the multi-UAV mission planning problem with complex space-time constraints.",

keywords = "Genetic algorithm, Mission planning, Simulated annealing algorithm",

author = "Tianyu Huang and Yue Wang and Xiaowen Cao and Dongfang Xu",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 3rd International Conference on Unmanned Systems, ICUS 2020 ; Conference date: 27-11-2020 Through 28-11-2020",

year = "2020",

month = nov,

day = "27",

doi = "10.1109/ICUS50048.2020.9274958",

language = "English",

series = "Proceedings of 2020 3rd International Conference on Unmanned Systems, ICUS 2020",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "325--330",

booktitle = "Proceedings of 2020 3rd International Conference on Unmanned Systems, ICUS 2020",

address = "United States",

}

Huang, T , Wang, Y, Cao, X & Xu, D 2020, Multi-UAV mission planning method. in Proceedings of 2020 3rd International Conference on Unmanned Systems, ICUS 2020., 9274958, Proceedings of 2020 3rd International Conference on Unmanned Systems, ICUS 2020, Institute of Electrical and Electronics Engineers Inc., pp. 325-330, 3rd International Conference on Unmanned Systems, ICUS 2020, Harbin, China, 27/11/20. https://doi.org/10.1109/ICUS50048.2020.9274958

Multi-UAV mission planning method. / Huang, Tianyu ; Wang, Yue; Cao, Xiaowen et al.
Proceedings of 2020 3rd International Conference on Unmanned Systems, ICUS 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 325-330 9274958 (Proceedings of 2020 3rd International Conference on Unmanned Systems, ICUS 2020).

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

TY - GEN

T1 - Multi-UAV mission planning method

AU - Huang, Tianyu

AU - Wang, Yue

AU - Cao, Xiaowen

AU - Xu, Dongfang

PY - 2020/11/27

Y1 - 2020/11/27

N2 - Compared with the single UAV system, multi-UAV cooperative system has the advantage in multiple complex tasks. This paper mainly focuses on the modeling of the constraints and studies the algorithms in the cooperative mission planning problem. Firstly, based on the constraint of time, UAV attributes and target attributes, the cooperative task assignment and cooperative resource allocation are modeled respectively. Then the genetic algorithm which solves the task assignment problem and the simulated annealing algorithm which solves the resource allocation problem are proposed. Finally, the simulation of cooperative mission planning is carried out, and the results show that the two algorithms can be used to solve the multi-UAV mission planning problem with complex space-time constraints.

AB - Compared with the single UAV system, multi-UAV cooperative system has the advantage in multiple complex tasks. This paper mainly focuses on the modeling of the constraints and studies the algorithms in the cooperative mission planning problem. Firstly, based on the constraint of time, UAV attributes and target attributes, the cooperative task assignment and cooperative resource allocation are modeled respectively. Then the genetic algorithm which solves the task assignment problem and the simulated annealing algorithm which solves the resource allocation problem are proposed. Finally, the simulation of cooperative mission planning is carried out, and the results show that the two algorithms can be used to solve the multi-UAV mission planning problem with complex space-time constraints.

KW - Genetic algorithm

KW - Mission planning

KW - Simulated annealing algorithm

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U2 - 10.1109/ICUS50048.2020.9274958

DO - 10.1109/ICUS50048.2020.9274958

M3 - Conference contribution

AN - SCOPUS:85098986398

T3 - Proceedings of 2020 3rd International Conference on Unmanned Systems, ICUS 2020

SP - 325

EP - 330

BT - Proceedings of 2020 3rd International Conference on Unmanned Systems, ICUS 2020

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 3rd International Conference on Unmanned Systems, ICUS 2020

Y2 - 27 November 2020 through 28 November 2020

ER -

Multi-UAV mission planning method

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