Real-time track-planning of UAVs based on PSO algorithm
Zhu Fan · Electronics Optics & Control · 2008
It is difficult to gain accurate information about the threat on the whole because of the huge battle area and dynamically changed environment for UAVs.It is necessary for UAVs to have the capability of track-planning in real-time.Continuous Particle Swarm Optimization(PSO) algorithm is used to plan reference track for UAVs in real-time.This method uses maximal turning radius,step,shortest distance and threat-evading as evaluation indexes of the fitness function.A series of discrete points are obtained,which can express the optimum reference track.The result of the simulation shows that the method is effective and needs less memory space,so it can meet with the request of track-planning in real-time.