IMFlySim: A High-Fidelity Simulation Platform for UAV Swarms

Shi Chen, Cheng Zhang, Chengwei Yang, Juan Li, Chang Liu, Zhenbei Wang, Jie Li, Yu Yang*

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

The development of unmanned aerial vehicles (UAVs) shows the development trend of high intelligence and UAV Swarms, which makes the UAV Swarms flight trails in the real environment expensive and time-consuming. The current simulation platforms that can serve UAV swarms have problems such as insufficient number of nodes, low visual rendering fidelity, lack of intelligent interfaces, and poor real environment reproduction. This paper proposes a high-fidelity simulation platform for UAV swarms, which is a multi-node simulation platform based on Client/Server (C/S) architecture with Unreal Engine as the rendering engine and JSBSim as the physical engine. JSBSim can realize multi-model, high-frequency hardware-in-the-loop data simulation and Unreal Engine provides data interface for intelligent sensing and decision algorithms. The C/S architecture can increase the maximum number of hardware-in-the-loop simulation nodes to meet the UAV swarms flight requirements. In this paper, simulation experiments of fixed-wing are conducted and compared with the flight test, the error is between -2.851017 and 3.108375, with a mean of -0.034536 and a variance of 0.476047. The error always fluctuates around 0, and this result is not bad. Finally, this paper successfully realized formation flight simulation.

源语言英语
主期刊名Proceedings of 2021 5th Chinese Conference on Swarm Intelligence and Cooperative Control
编辑Zhang Ren, Yongzhao Hua, Mengyi Wang
出版商Springer Science and Business Media Deutschland GmbH
209-220
页数12
ISBN(印刷版)9789811939976
DOI
出版状态已出版 - 2023
活动5th Chinese Conference on Swarm Intelligence and Cooperative Control, CCSICC 2021 - Shenzhen, 中国
期限: 19 1月 202222 1月 2022

出版系列

姓名Lecture Notes in Electrical Engineering
934 LNEE
ISSN(印刷版)1876-1100
ISSN(电子版)1876-1119

会议

会议5th Chinese Conference on Swarm Intelligence and Cooperative Control, CCSICC 2021
国家/地区中国
Shenzhen
时期19/01/2222/01/22

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