@inproceedings{3a3116cfe5a04e379cd6f565a36ebd57,
title = "Cooperative Attack Algorithm for UAV Swarm System Under Spatiotemporal Constraints",
abstract = "This paper proposes a cooperative attack algorithm for unmanned aerial vehicle swarm system that considers flight time and attack angle constraints. Firstly, a dynamic and kinematic model of the unmanned aerial vehicle swarm system was established, and a description of the problem of spatiotemporal cooperative attack was provided. Secondly, a strategy of virtual guidance points guiding unmanned aerial vehicle swarm system was proposed, and a cooperative attack trajectory with spatiotemporal constraints was obtained through the artificial potential field method. Thirdly, the model predictive control method was used to achieve real-time solution of the optimal control quantity, completing the cooperative attack task with spatiotemporal constraints. Finally, the real-time performance and effectiveness of the algorithm were verified through numerical simulations.",
keywords = "MPC, UAV swarm system, virtual guidance point",
author = "Zhiyan Zhou and Jianglong Yu and Qingdong Li and Hong Jiang",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.; 7th Chinese Conference on Swarm Intelligence and Cooperative Control, CCSICC 2023 ; Conference date: 24-11-2023 Through 27-11-2023",
year = "2024",
doi = "10.1007/978-981-97-3340-8\_42",
language = "英语",
isbn = "9789819733392",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "475--486",
editor = "Guo-Ping Jiang and Mengyi Wang and Zhang Ren",
booktitle = "Proceedings of 2023 7th Chinese Conference on Swarm Intelligence and Cooperative Control - Swarm Guidance Technologies",
address = "德国",
}