Design of Vechicle Reentry Trajectory Optimization Based on Partical Swarm Optimization Algorithm
Tang Lingling · Computing Technology and Automation · 2008
A new method for reentry trajectory optimization is presented by using Partical Swarm Optimization(PSO).For the minimum control energy reentry trajectory optimization for hypersonic glide vehicles,model is simplified,control variable is parameterized,adaptive weight is introuced in PSO,coefficiences are initialized by using vechicle's dynamic characteristics.And aslo the influence of simulation steps to the result of velocity and height is analyzed.The effectiveness and superiority of the proposed method are demonstrated by simulation results.