基于自然智能的无人机群目标跟踪协同策略研究

IF 1 4区工程技术 Q3 ENGINEERING, AEROSPACE

Proceedings of the Institution of Mechanical Engineers Part G-Journal of Aerospace Engineering Pub Date : 2024-02-26 DOI:10.1177/09544100241233313

Shi Yin, Xiaofang Wang, Lianyong Luo, Nan Pan, Da Zhao, Xiayang Zhang

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引用次数: 0

摘要

针对智能场景中广泛存在的区域目标协同跟踪问题，本文构建了一个受自然智能启发的分布式无人机群框架，以提高复杂任务的效率。同时，基于改进参考点制导（RPG）的横向制导法则和改进相位协同的纵向制导法则，提出了一种对峙协同连续跟踪策略。在不确定环境下，该框架使用改进的蝙蝠算法（IBA）优化了无人机群在线控制策略的速度分配，并进行了信息共识估计。与没有设计转换的情况相比，统计结果表明，在存在动态目标的情况下，该框架在相位误差收敛、蜂群飞行距离和燃料消耗方面运行高效且稳健。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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

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.

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来源期刊

Proceedings of the Institution of Mechanical Engineers Part G-Journal of Aerospace Engineering 工程技术-工程：机械

CiteScore

2.40

自引率

18.20%

发文量

212

审稿时长

5.7 months

期刊介绍： The Journal of Aerospace Engineering is dedicated to the publication of high quality research in all branches of applied sciences and technology dealing with aircraft and spacecraft, and their support systems. "Our authorship is truly international and all efforts are made to ensure that each paper is presented in the best possible way and reaches a wide audience. "The Editorial Board is composed of recognized experts representing the technical communities of fifteen countries. The Board Members work in close cooperation with the editors, reviewers, and authors to achieve a consistent standard of well written and presented papers."Professor Rodrigo Martinez-Val, Universidad Politécnica de Madrid, Spain This journal is a member of the Committee on Publication Ethics (COPE).