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一种用于无人机群的分布式低抖振滑模编队飞行控制器。

A Decentralized Low-Chattering Sliding Mode Formation Flight Controller for a Swarm of UAVs.

作者信息

Cordeiro Thiago F K, Ishihara João Y, Ferreira Henrique C

机构信息

Gama Campus, University of Brasília, Brasília 72444-240, Brazil.

Department of Electrical Engineering, Darcy Ribeiro Campus, University of Brasília, Brasília 70910-900, Brazil.

出版信息

Sensors (Basel). 2020 May 30;20(11):3094. doi: 10.3390/s20113094.

DOI:10.3390/s20113094
PMID:32486183
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7309143/
Abstract

In this paper, a nonlinear robust formation flight controller for a swarm of unmanned aerial vehicles (UAVs) is presented. It is based on the virtual leader approach and is capable of achieving and maintaining a formation with time-varying shape. By using a decentralized architecture, the local controller in each UAV uses information only from the UAV itself, its neighbors, and from the virtual leader. Also, a synchronization control objective provides a mechanism to weight between the fleet achieving the desired formation shape, that is, achieving the desired relative position between the UAVs, and each UAV achieving its desired absolute position. The use of a combination of a sliding mode controller and a low pass filter reduces the usual chattering effect, providing a smooth control signal while maintaining robustness. Simulation results show the effectiveness of the proposed decentralized controller.

摘要

本文提出了一种用于无人机群的非线性鲁棒编队飞行控制器。它基于虚拟领航方法,能够实现并保持具有时变形状的编队。通过采用分散式架构,每架无人机中的本地控制器仅使用来自其自身、其邻居以及虚拟领航器的信息。此外,同步控制目标提供了一种机制,用于在机群实现期望编队形状(即无人机之间达到期望相对位置)与每架无人机实现其期望绝对位置之间进行权衡。滑模控制器和低通滤波器的组合使用减少了常见的抖振效应,在保持鲁棒性的同时提供了平滑的控制信号。仿真结果表明了所提出的分散式控制器的有效性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3cd/7309143/89059c8c614d/sensors-20-03094-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3cd/7309143/7136d3949d1e/sensors-20-03094-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3cd/7309143/aa0210bb92bb/sensors-20-03094-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3cd/7309143/5d4fb6fa127e/sensors-20-03094-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3cd/7309143/3a8db94fbcbb/sensors-20-03094-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3cd/7309143/33fdb5af48e7/sensors-20-03094-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3cd/7309143/24d0c320087c/sensors-20-03094-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3cd/7309143/89059c8c614d/sensors-20-03094-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3cd/7309143/7136d3949d1e/sensors-20-03094-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3cd/7309143/aa0210bb92bb/sensors-20-03094-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3cd/7309143/5d4fb6fa127e/sensors-20-03094-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3cd/7309143/3a8db94fbcbb/sensors-20-03094-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3cd/7309143/33fdb5af48e7/sensors-20-03094-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3cd/7309143/24d0c320087c/sensors-20-03094-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3cd/7309143/89059c8c614d/sensors-20-03094-g007.jpg

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本文引用的文献

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Modeling and Flight Experiments for Swarms of High Dynamic UAVs: A Stochastic Configuration Control System with Multiplicative Noises.高动态无人机群的建模与飞行实验:一种具有乘性噪声的随机配置控制系统
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Formation Flight of Multiple UAVs via Onboard Sensor Information Sharing.基于机载传感器信息共享的多无人机编队飞行
Sensors (Basel). 2015 Jul 17;15(7):17397-419. doi: 10.3390/s150717397.