Track Planning for Unmanned Aerial Vehicles Based on Wolf Pack Algorithm

Authors

Yonglan Liu, 1. Air Force Engineering University, Xi'an 710051, China; ;
Weimin Li, 1. Air Force Engineering University, Xi'an 710051, China; ;
Husheng Wu, 2. Armed Police Force Engineering University, Xi'an 710086, China;
Wenjing Song, 1. Air Force Engineering University, Xi'an 710051, China; ;

Abstract

Abstract: Along with the diversification of missions that unmanned aerial vehicles (UAV) can carry out, track planning becomes basic precondition of UAV fulfilling missions successfully. Aiming to these, a method of track planning based on Wolf Pack Algorithm (WPA) was proposed. The method of equivalent terrain simulation was used to make enemy's threatens and terrain obstacles equal to peaks, thus the scene of track planning of UAV was built. Based on the scene, the WPA that extracted three intelligent behaviors including scouting, summoning and beleaguering was adopted to plan the track of UAV, whose start point and end point had been known. The track that planned out avoids obstacles safely, has short length and costs little average time. Simulation results show the validity of the method.

Recommended Citation

Liu, Yonglan; Li, Weimin; Wu, Husheng; and Song, Wenjing (2020) "Track Planning for Unmanned Aerial Vehicles Based on Wolf Pack Algorithm," Journal of System Simulation: Vol. 27: Iss. 8, Article 27.
Available at: https://dc-china-simulation.researchcommons.org/journal/vol27/iss8/27

First Page

1838

Revised Date

2015-07-06

DOI Link

https://doi.org/

Last Page

1843

CLC

V249.1

Recommended Citation

Liu Yonglan, Li Weimin, Wu Husheng, Song Wenjing. Track Planning for Unmanned Aerial Vehicles Based on Wolf Pack Algorithm[J]. Journal of System Simulation, 2015, 27(8): 1838-1843.