Geomagnetic matching path planning based on PSO algorithm
Bo Zhang · Systems Engineering - Theory & Practice · 2010
A path planning method based on PSO(Particle swarm optimization) algorithm is proposed to solve geomagnetic matching navigation for UAV(Unmanned aerial vehicle).Inspired by Sparse A-Star Search method,the constraints are introduced to searching method to form the expanding space of route nodes based on geomagnetic grid map.The fitness function of PSO algorithm in path planning is designed based on maneuverability of UAV and characteristics of geomagnetic matching.The results of simulation indicate that the generated path satisfies the need of geomagnetic matching navigation,and has the function of threat avoidance.Considering to the case of geomagnetic matching used in intermediate guidance stage,a scheme is presented to guarantee UAV flying into the path part of geomagnetic matching.