Version 1
: Received: 18 February 2024 / Approved: 18 February 2024 / Online: 19 February 2024 (14:51:30 CET)
How to cite:
PENG, J.; SUN, J.; CHEN, W.; HOU, P.; LIU, J. Research on Reconfiguration Control Strategy of UAV Cluster. Preprints2024, 2024020971. https://doi.org/10.20944/preprints202402.0971.v1
PENG, J.; SUN, J.; CHEN, W.; HOU, P.; LIU, J. Research on Reconfiguration Control Strategy of UAV Cluster. Preprints 2024, 2024020971. https://doi.org/10.20944/preprints202402.0971.v1
PENG, J.; SUN, J.; CHEN, W.; HOU, P.; LIU, J. Research on Reconfiguration Control Strategy of UAV Cluster. Preprints2024, 2024020971. https://doi.org/10.20944/preprints202402.0971.v1
APA Style
PENG, J., SUN, J., CHEN, W., HOU, P., & LIU, J. (2024). Research on Reconfiguration Control Strategy of UAV Cluster. Preprints. https://doi.org/10.20944/preprints202402.0971.v1
Chicago/Turabian Style
PENG, J., Ping HOU and Jinxin LIU. 2024 "Research on Reconfiguration Control Strategy of UAV Cluster" Preprints. https://doi.org/10.20944/preprints202402.0971.v1
Abstract
Aiming at the problem of UAV cluster configuration reconstruction, in order to obtain the cluster reconstruction method, the theory and simulation of cluster reconstruction control strategy is studied by simplifying the model，deducing the theoretical formula and analyzing the example. Taking 10 UAVs cluster as an example, the distribution of UAVs in different configurations was analyzed. According to the change of cluster configuration, the principle of formation reconstruction and the execution ability of configuration, the cluster capability was analyzed. The group behavior is modeled by group behavior rules, reconfiguration topology analysis and reconfiguration cost measurement. Based on the cluster parameters and configuration characteristics, simulation experiments were carried out to obtain the change curve of the reconstruction cost and time and the trajectory movement diagram of the UAV in different configurations.
Computer Science and Mathematics, Artificial Intelligence and Machine Learning
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
