江苏大学学报（自然科学版）2013，Vol.34Issue(1)：54-59,6.DOI:10.3969/j.issn.1671-7775.2013.01.011
基于混合粒子群法的RLV上升段轨迹优化
RLV ascent trajectory optimization based on hybrid PSO method
摘要
Abstract
To solve trajectory optimization problem of reusable launch vehicle(RLV) , a hybrid HPSO algorithm was proposed. Combining improved particle swarm optimization algorithm with sequential quadratic programming, a new particle swarm arrangement scheme was adopted to introduce time-varying inertia factors for adjusting searching velocity, and to improve the update scheme for velocity and position. Flight dynamic equations, engine model, aerodynamic model and constraint conditions of ascend trajectory optimization problems were obtained. The optimization design steps including collocation discretization , improved multi-neighborhood PSO and HPSO hybrid algorithm were determined, and the minimum fuel consumption problem was optimized and analysed. The calculation results show that a global high-precision solution of RLV trajectory optimization can be obtained even without a proper initial guess. The proposed algorithm can solve the trajectory optimization problem with good correctness, effectiveness and robustness.关键词
直接配点法/粒子群法/序列二次规划/可重复使用运载器/上升段轨迹优化Key words
direct collocation method/particle swarm optimization/sequential quadratic programming/reusable launch vehicle/ascent trajectory optimization分类
航空航天引用本文复制引用
张鼎逆,刘毅..基于混合粒子群法的RLV上升段轨迹优化[J].江苏大学学报（自然科学版）,2013,34(1):54-59,6.基金项目
国家"863"计划项目(2008AAXXX103) （2008AAXXX103）
