Research on Dynamic Task Planning of UAV Based on Ant Colony Algorithm

被引：0
|
作者：
Luo, Jie [1 ]
Wang, Zhiqiang [1 ]
Zuo, Zhichao [1 ]
Deng, Peng [1 ]
机构：
[1] Natl Univ Def Technol, CO-410073 Changsha, Peoples R China
来源：
2019 9TH IEEE ANNUAL INTERNATIONAL CONFERENCE ON CYBER TECHNOLOGY IN AUTOMATION, CONTROL, AND INTELLIGENT SYSTEMS (IEEE-CYBER 2019) | 2019年
基金：
国家重点研发计划;
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper utilizes the contract network protocol to achieve UAV dynamic mission assignment based on the basic hiding procedure. Path planning is a very important sub-problem in UAV dynamic task assignment, them fore it is worth discussing. As a type of intelligent optimization algorithm, the ant colony algorithm is frequently used in UAV path planning because of its fine characteristics of self-organization, parallelism, positive feedback and robustness. This paper uses ant colony algorithm to replan the UAV flight path during the dynamic mission allocation according to the required length cost in the biding.
引用
收藏
页码：1515 / 1519
页数：5
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