固体火箭技术2006，Vol.29Issue(4)：235-238,265,5.
基于遗传算法的RLV再入轨迹优化设计
Optimization Design on RLV Reentry Trajectory Based on Genetic Algorithm
摘要
Abstract
Spacecraft reentry trajectory optimization is a kind of optimal control problem. The conventional direct and indirect methods are very sensitive to the initial guess, which need much experience. The improved float point algorithm, Fitness Sharing Genetic Algorithms (FSGA) based on niche and elitism methods were used to solve this problem. Taking the minimum control energy reentry trajectory with fixed terminal time and the minimum total heat load reentry trajectory as examples, some key problems such as parameterized method were discussed in detail. Simulation results indicate that genetic algorithm can solve this problem and find the global optimal value efficiently ,and it's insensitive to the initial guess. The optimal reentry trajectory can meet the requirements of attitude, heat flux and velocity.关键词
适应值共享拥挤遗传算法/可重复使用运载器/再入轨迹优化/优化控制Key words
Fitness sharing genetic algorithms/reusable launch vehicle/reentry trajectory optimization/optimal control分类
航空航天引用本文复制引用
陈刚,胡莹,万自明,徐敏,陈士橹..基于遗传算法的RLV再入轨迹优化设计[J].固体火箭技术,2006,29(4):235-238,265,5.基金项目
sponsored by innovation foundation of Northwestern Polytechnical University (CX200403). （CX200403）
