Paper
27 September 2022 Intelligent control method of UAV cluster based on neighborhood following
Zhi Huang, Jia Liu, Jianqiang Zhang, Runcong Su, Meng Zhang
Author Affiliations +
Proceedings Volume 12346, 2nd International Conference on Information Technology and Intelligent Control (CITIC 2022); 1234618 (2022) https://doi.org/10.1117/12.2653536
Event: 2nd International Conference on Information Technology and Intelligent Control (CITIC 2022), 2022, Kunming, China
Abstract
In the actual control process of unmanned aerial vehicle (UAV), the current intelligent control method of the UAV cluster has insufficient binding force on the common control of multiple UAV clusters, which easily leads to the problem that the UAV is out of control and can not continue the task. Therefore, an intelligent control method for UAV clusters based on neighborhood following is proposed. The adaptive following control model of the UAV group is designed, and the mathematical model of the UAV group motion is built. The task scheduling between individuals is optimized to enhance the frequency of information exchange between UAVs. Based on the domain following, the intelligent control law of following target between individuals in the UAV cluster is established. The comparative experimental results show that the method can ensure the close combination of UAV groups, and can reach a stable state in about 60s. The control efficiency is greatly improved compared with the traditional method, which has practical significance for strengthening the intelligent control technology of the UAV groups in the future.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhi Huang, Jia Liu, Jianqiang Zhang, Runcong Su, and Meng Zhang "Intelligent control method of UAV cluster based on neighborhood following", Proc. SPIE 12346, 2nd International Conference on Information Technology and Intelligent Control (CITIC 2022), 1234618 (27 September 2022); https://doi.org/10.1117/12.2653536
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KEYWORDS
Unmanned aerial vehicles

Control systems

Mathematical modeling

Process control

Motion models

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