@inproceedings{6a5e83733d764833b0c8d2b3222d78ae,
title = "UAV formation flight based on artificial potential force in 3D environment",
abstract = "Unmanned Aerial Vehicle (UAV) is applied in various military and civil fields. UAVs in formation can improve the ability and efficiency of UAV system. In this paper, we present the UAV formation flight control based on the Artificial Potential Field (APF). We improve the method by considering the velocity status information, defining the dynamic safe distance and modifying the potential force. To demonstrate the method, two simulations are conducted, which test the performance in collision avoidance among the obstacles in environment and collisions among UAVs.",
keywords = "Artificial Potential Field, Collision Avoidance, Formation Control, UAV",
author = "Nie Zunli and Zhang Xuejun and Guan Xiangmin",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 29th Chinese Control and Decision Conference, CCDC 2017 ; Conference date: 28-05-2017 Through 30-05-2017",
year = "2017",
month = jul,
day = "12",
doi = "10.1109/CCDC.2017.7979468",
language = "英语",
series = "Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "5465--5470",
booktitle = "Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017",
address = "美国",
}