Research on Adaptive Track Planning Algorithm for UAV

DOI

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.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - Proceedings of the 2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017)
PB  - Atlantis Press
SP  - 439
EP  - 444
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmeit-17.2017.85
DO  - 10.2991/icmeit-17.2017.85
ID  - Pan2017/05
ER  -