Design of the Fruit Fly Optimization Algorithm based Path Planner for UAV in 3D Environments

被引：0
作者：
Zhang, Xiangyin [1 ,2 ]
Jia, Songmin [1 ,2 ]
Li, Xiuzhi [1 ,3 ]
Jian, Meng [1 ,3 ]
机构：
[1] Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
[2] Beijing Key Lab Computat Intelligence & Intellige, Beijing 100124, Peoples R China
[3] Minist Educ, Engn Res Ctr Digital Community, Beijing 100124, Peoples R China
来源：
2017 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION (ICMA) | 2017年
基金：
中国博士后科学基金;
关键词：
path planning; fruit fly optimization algorithm; unmanned air vehicle; B-Spline curve; UNMANNED AERIAL VEHICLE; PARTICLE SWARM OPTIMIZATION; REGRESSION NEURAL-NETWORK; DIFFERENTIAL EVOLUTION; MODEL;
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 designs a novel path planner for unmanned aerial vehicle (UAV) in the three-dimensional terrain environment using the fruit fly optimization algorithm (FOA). The UAV path planning problem is formulated as an optimization problem, using the B-Spline curve to represent flight paths. The cost function adopting herein to evaluate the flight path contains multiple optimization indexes and performance constraints. Detailed process of the FOA-based path planner is proposed to find the optimal path with the minimum cost function value. Numerical simulations are carried out and the results show that FOA is the powerful optimization technique in solving UAV path planning problem.
引用
收藏
页码：381 / 386
页数：6
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