计算技术与自动化2011，Vol.30Issue(4)：55-59,5.
基于改进粒子群算法的再入飞行器轨迹优化
Design of Reentry Vehicle Trajectory Optimization Based on Improved Particle Swarm Optimization Algorithm
摘要
Abstract
A method using Partical Swarm Optimization(PSO) is applied to reentry vehicle trajectory optimization, the method based on distance measures and adaptive penalty functions avoids the complex design for penalty functions and penalty factors, and develops the generality of the algorithm. For the minimum control energy reentry trajectory optimization for hypersonic glide vehicles, model is simplified, control variable is parameterized. Two different hypersonic vehicles are optimized by the method. The effectiveness and generality of the method are demonstrated by simulation results.关键词
再入飞行器/轨迹优化/粒子群优化算法/多约束处理Key words
reentry vehicle/trajectory optimization/partical swarm optimization/multi-constrains handling分类
航空航天引用本文复制引用
苏茂,王永骥,刘磊,常松涛..基于改进粒子群算法的再入飞行器轨迹优化[J].计算技术与自动化,2011,30(4):55-59,5.基金项目
国家自然科学基金项目(60975058) （60975058）
2010航天支撑基金项目 （）
湖北省自然科学基金项目(2010CDB01904) （2010CDB01904）
华中科技大学国防自主创新研究基金项目 （）
