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

Research on Adaptive Track Planning Algorithm for UAV

Authors
Dianheng Pan, Te Ma, Gang Liu, Bing He
Corresponding Author
Dianheng Pan
Available Online May 2017.
DOI
https://doi.org/10.2991/icmeit-17.2017.85How to use a DOI?
Keywords
UAV, Trajectory planning, Particle Swarm, Gradient Search.
Abstract
For the low efficiency problem and the search domain widely in UAV trajectory planning, the gradient search is innovated in the traditional particle swam optimal (PSO) algorithm, then a new gradient particle swam optimization algorithm is designed by neighboring group optimization guiding population gradient. The simulation results show that the gradient particle swarm algorithm's convergence speed and accuracy is better than the traditional PSO algorithm and Genetic Algorithm.
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Proceedings
2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017)
Part of series
Advances in Computer Science Research
Publication Date
May 2017
ISBN
978-94-6252-338-8
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmeit-17.2017.85How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Dianheng Pan
AU  - Te Ma
AU  - Gang Liu
AU  - Bing He
PY  - 2017/05
DA  - 2017/05
TI  - Research on Adaptive Track Planning Algorithm for UAV
BT  - 2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017)
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmeit-17.2017.85
DO  - https://doi.org/10.2991/icmeit-17.2017.85
ID  - Pan2017/05
ER  -