Path Planning for UAV with Constrained conditions Based on Ant Colony Algorithm

被引：0

作者：

Zhang, Huiming ^{[1
]}

Lu, Yi ^{[1
]}

Zhu, Haizhen ^{[1
]}

Xiao, Zhonghui ^{[1
]}

Gao, Chunqing ^{[1
]}

机构：

[1] Air Force Engn Univ, Aeronaut & Astronaut Engn Inst, Xian 710038, Shaanxi, Peoples R China

来源：

PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON MECHATRONICS ENGINEERING AND INFORMATION TECHNOLOGY (ICMEIT 2017) | 2017年 / 70卷

关键词：

UAV; constrained conditions; ant colony algorithm; path planning;

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：

In order to improve UAV's operational efficiency and survival probability, the optimal path of an UAV should be designed before the UAV performs a mission. This paper applies UAV's constrained conditions to the search strategies of ant colony and use a new evaluation method of path's cost. The algorithm's state transformation rules and pheromone updating rules are improved. These make its convergence speed and global searching ability enhanced remarkably. The simulation results show that this method can get a flight path which can avoid threats effectively in a short time and is a more efficient path planning method

引用

页码：384 / 391

页数：8

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