Unpiloted Aerocraft Path Planning Based on Quantum Particle Swarm Optimization
Wamg Yan-feng · Fire Control and Command Control · 2010
According to the threats distribution of terrain obstacles,adversarial defense radar sites and unexpected surface-to-air missile(SAM) sites,Surface of Minimum Risk is introduced and used to form the searching space.B-Spline curves are used to to approach the horizon projection of the 3-D route and this simplifies the original problem to a 2 dimension optimization problem.Quantum Particle swarm optimization is introduced to solve this optimization problem.Incorporating constrains into the algorithm,the local trap problem of simple PSO algorithm is solved effectively and the complexity of the optimization problem is decreased,efficiency is improved.The simulation results indicate the generated route has the function of terrain following,obstacle avoidance and threat avoidance.