Three Dimensional Path Planning of UAV with Improved Ant Lion Optimizer

HUANG Changqiang; ZHAO Kexin

doi:10.11999/JEIT170961

Volume 40 Issue 7

Jul. 2018

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HUANG Changqiang, ZHAO Kexin. Three Dimensional Path Planning of UAV with Improved Ant Lion Optimizer[J]. Journal of Electronics & Information Technology, 2018, 40(7): 1532-1538. doi: 10.11999/JEIT170961

Citation:

HUANG Changqiang, ZHAO Kexin. Three Dimensional Path Planning of UAV with Improved Ant Lion Optimizer[J]. Journal of Electronics & Information Technology, 2018, 40(7): 1532-1538. doi: 10.11999/JEIT170961

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Three Dimensional Path Planning of UAV with Improved Ant Lion Optimizer

doi: 10.11999/JEIT170961

HUANG Changqiang ZHAO Kexin

Funds:

The National Natural Science Foundation of China (61601505), The Aviation Science Foundation (20155196022)

Received Date: 2017-10-19
Rev Recd Date: 2018-03-21
Publish Date: 2018-07-19

Abstract

Abstract

Unmanned Aerial Vehicle (UAV) 3D path planning is the most complex and important part of mission planning. Considering at the problem that the problem of 3D path planning can not be solved by the original algorithm perfectly, so firstly the chaotic adjustment factor and anti-regulation factor are introduced into the behavior of ant and ant lion respectively, which improves the exploration and the exploitation of algorithm. Then, in order to reduce search space ,so terrain and constraints are full used on the basis of the establishment of 3D environment model. Lastly, the improved algorithm is applied to the 3D path planning, which is compared with the original algorithm, and online local re-planning is implemented. Simulation results demonstrate the feasibility and superiority of the improved method.
- Unmanned Aerial Vehicle (UAV)、Three-dimensional path planning、Ant Lion Optimizer (ALO)、Local re-planning,

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References(18)

References

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