Journal of System Simulation ›› 2015, Vol. 27 ›› Issue (8): 1838-1843.

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Track Planning for Unmanned Aerial Vehicles Based on Wolf Pack Algorithm

Liu Yonglan1, Li Weimin1, Wu Husheng2, Song Wenjing1   

  1. 1. Air Force Engineering University, Xi'an 710051, China;
    2. Armed Police Force Engineering University, Xi'an 710086, China
  • Received:2015-05-04 Revised:2015-07-06 Online:2015-08-08 Published:2020-08-03

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.

Key words: unmanned aerial vehicles, track planning, equivalent terrain simulation, wolf pack algorithm

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