A Research About Improved Particle Swarm Optimization And Spacecraft Trajectory Planning

Route planning is an important part of the aircraft mission planning,is the key to ensures the completion of the mission aircraft.This paper based on the analysis of existing route planning algorithm,aims at change airspace threat,then proposes a planning method of improve particle swarm optimization aircraft trajectory,and carries out a simulation comparison.The contents of this paper are as follows:First of all,aiming at the complex ground environment,this paper studies that digital is the fusion of maps and threats,according to the different performance of aircraft climbing,the paper takes control to terrain slope and curvature,and finally takes use of the Hermite interpolation method to deal with the smoothness of the map,then gets the safe flight surface which can meet the needs of low-altitude operation of aircraft.Secondly,in view of the aircraft motor performance,various airspace threat and goals of path planning,this paper studies the processing method of static threat and dynamic threat,explains the goals of route planning,designs the cost function which can judge the merits of aircraft track.Through further studies the algorithm of particle swarm,analyzes the iterative process of particle swarm,aims at the deficiency of the search method about algorithm,the paper puts forward an improved particle swarm algorithm,which combines the artificial potential field algorithm with particle swarm algorithm,makes artificial potential field joins the iterative update process of particle swarm to guide particle,so that the algorithm can gets the shorter,faster distance and safer track.This paper uses matlab software to take comparison of simulation experiments to further verify the convergence speed and optimization capabilities of the improved particle swarm optimization algorithm.Finally,this paper sets ADS-B ground experimental platform.In the experimental platform,it can carries on monitor to the aircraft,the aircraft path planning of given starting point,ending point and cruising altitude is completed in the experimental platform with the improved particle swarm optimization algorithm.The result through computer simulation and experiment shows that the improved particle swarm optimization algorithm which the paper puts forward for path planning has better convergence speed and optimization ability.