A Distributed Control Framework of Multiple Unmanned Aerial Vehicles for Dynamic Wildfire Tracking

被引:119
|
作者
Huy Xuan Pham [1 ]
Hung Manh La [1 ]
Feil-Seifer, David [2 ]
Deans, Matthew C. [3 ]
机构
[1] Univ Nevada, Adv Robot & Automat Lab, Reno, NV 89557 USA
[2] Univ Nevada, Dept Comp Sci & Engn, Reno, NV 89557 USA
[3] NASA, Intelligent Robot Grp, Ames Res Ctr, Moffett Field, CA 94035 USA
来源
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS | 2020年 / 50卷 / 04期
基金
美国国家科学基金会; 美国国家航空航天局;
关键词
Mathematical model; Unmanned aerial vehicles; Robot sensing systems; Decentralized control; Task analysis; Color; Distributed unmanned aerial vehicle (UAV) control; dynamic tracking; networked robots; AUTONOMOUS ROBOTIC SYSTEM; BRIDGE DECK INSPECTION; FLOCKING CONTROL; COVERAGE; AGENTS;
D O I
10.1109/TSMC.2018.2815988
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Wild-land fire fighting is a hazardous job. A key task for firefighters is to observe the "fire front" to chart the progress of the fire and areas that will likely spread next. Lack of information of the fire front causes many accidents. Using unmanned aerial vehicles (UAVs) to cover wildfire is promising because it can replace humans in hazardous fire tracking and significantly reduce operation costs. In this paper, we propose a distributed control framework designed for a team of UAVs that can closely monitor a wildfire in open space, and precisely track its development. The UAV team, designed for flexible deployment, can effectively avoid in-flight collisions and cooperate well with neighbors. They can maintain a certain height level to the ground for safe flight above fire. Experimental results are conducted to demonstrate the capabilities of the UAV team in covering a spreading wildfire.
引用
收藏
页码:1537 / 1548
页数:12
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