Research on Adaptive Track Planning Algorithm for UAV
Dianheng Pan, Te Ma, Gang Liu, Bing He
Available Online May 2017.
- https://doi.org/10.2991/icmeit-17.2017.85How to use a DOI?
- UAV, Trajectory planning, Particle Swarm, Gradient Search.
- 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.
- 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 - 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 - https://doi.org/10.2991/icmeit-17.2017.85 ID - Pan2017/05 ER -