Collaborative strategy research of target tracking based on natural intelligence by UAV swarm-Reference-Cited by-同舟云学术

Collaborative strategy research of target tracking based on natural intelligence by UAV swarm

Published:2024-02-26 Issue:6 Volume:238 Page:549-564
ISSN:0954-4100
Container-title:Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering
language:en
Short-container-title:Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering

Author:

Yin Shi¹^ORCID,Wang Xiaofang¹,Luo Lianyong¹,Pan Nan¹,Zhao Da²,Zhang Xiayang³

Affiliation:

1. Kunming University of Science and Technology, Kunming, China

2. Beihang University, Beijing, China

3. Nanjing University of Aeronautics and Astronautics, Nanjing, China

Abstract

Regarding the regional area target collaborative tracking problem widely existing in intelligent scenarios, this paper built a distributed UAV swarm framework inspired by natural intelligence to heighten intricate missions’ efficiency. Also, a standoff collaboratively continuous tracking strategy was proposed based on a lateral guidance law with an improved Reference Point Guidance (RPG) and a longitudinal guidance law with an improved phase collaboration. Under an uncertain environment, this framework used an improved bat algorithm (IBA) to optimize the speed allocation of the UAV swarm’s online control strategy with information consensus estimation. Compared with a case without the designed transformation, statistically, the results demonstrate that the framework operates efficiently and robustly in phase error convergence, swarm flight distance, and fuel consumption, where a dynamic target exists.

Funder

Science and technology plan youth project of Yunnan Science and Technology Department

Talent training project of natural science research foundation of Kunming University of Science and Technology

Publisher

SAGE Publications

Link

https://journals.sagepub.com/doi/pdf/10.1177/09544100241233313

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