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基于改进触手算法的多无人机在非结构化环境中的编队飞行与避撞

Formation flight and collision avoidance for multiple UAVs based on modified tentacle algorithm in unstructured environments.

作者信息

Zhang Minghuan

机构信息

School of Astronautics, Northwestern Polytechnical University, Xi'an, Shaan xi Province, People's Republic of China.

出版信息

PLoS One. 2017 Aug 1;12(8):e0182006. doi: 10.1371/journal.pone.0182006. eCollection 2017.

Abstract

This paper presents a method for formation flight and collision avoidance of multiple UAVs. Due to the shortcomings such as collision avoidance caused by UAV's high-speed and unstructured environments, this paper proposes a modified tentacle algorithm to ensure the high performance of collision avoidance. Different from the conventional tentacle algorithm which uses inverse derivation, the modified tentacle algorithm rapidly matches the radius of each tentacle and the steering command, ensuring that the data calculation problem in the conventional tentacle algorithm is solved. Meanwhile, both the speed sets and tentacles in one speed set are reduced and reconstructed so as to be applied to multiple UAVs. Instead of path iterative optimization, the paper selects the best tentacle to obtain the UAV collision avoidance path quickly. The simulation results show that the method presented in the paper effectively enhances the performance of flight formation and collision avoidance for multiple high-speed UAVs in unstructured environments.

摘要

本文提出了一种多无人机编队飞行与避撞方法。针对无人机在高速及非结构化环境下避撞存在的不足,本文提出一种改进的触手算法以确保避撞的高性能。与传统采用反向推导的触手算法不同,改进的触手算法能快速匹配各触手半径与转向指令,确保解决传统触手算法中的数据计算问题。同时,减少并重构一个速度集合中的速度集与触手,以便应用于多架无人机。本文不采用路径迭代优化,而是选择最佳触手以快速获得无人机避撞路径。仿真结果表明,本文提出的方法有效提高了多架高速无人机在非结构化环境下的飞行编队与避撞性能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c946/5538717/06740aa9dc58/pone.0182006.g001.jpg

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