TY - GEN
T1 - IMFlySim
T2 - 5th Chinese Conference on Swarm Intelligence and Cooperative Control, CCSICC 2021
AU - Chen, Shi
AU - Zhang, Cheng
AU - Yang, Chengwei
AU - Li, Juan
AU - Liu, Chang
AU - Wang, Zhenbei
AU - Li, Jie
AU - Yang, Yu
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - High-fidelity simulation platform/system
KW - JSBSim
KW - UAV swarm
KW - UE4
UR - http://www.scopus.com/inward/record.url?scp=85135789776&partnerID=8YFLogxK
U2 - 10.1007/978-981-19-3998-3_21
DO - 10.1007/978-981-19-3998-3_21
M3 - Conference contribution
AN - SCOPUS:85135789776
SN - 9789811939976
T3 - Lecture Notes in Electrical Engineering
SP - 209
EP - 220
BT - Proceedings of 2021 5th Chinese Conference on Swarm Intelligence and Cooperative Control
A2 - Ren, Zhang
A2 - Hua, Yongzhao
A2 - Wang, Mengyi
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 19 January 2022 through 22 January 2022
ER -