Proceedings of the 2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017)

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

Authors
Huiming Zhang, Yi Lu, Haizhen Zhu, Zhonghui Xiao, Chunqing Gao
Corresponding Author
Huiming Zhang
Available Online May 2017.
DOI
https://doi.org/10.2991/icmeit-17.2017.91How to use a DOI?
Keywords
UAV; constrained conditions; ant colony algorithm; path planning.
Abstract
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
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

TY  - CONF
AU  - Huiming Zhang
AU  - Yi Lu
AU  - Haizhen Zhu
AU  - Zhonghui Xiao
AU  - Chunqing Gao
PY  - 2017/05
DA  - 2017/05
TI  - Path Planning for UAV with Constrained conditions Based on Ant Colony Algorithm
BT  - Proceedings of the 2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017)
PB  - Atlantis Press
SP  - 475
EP  - 482
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmeit-17.2017.91
DO  - https://doi.org/10.2991/icmeit-17.2017.91
ID  - Zhang2017/05
ER  -