混合遗传算法在航天器最优交会中的应用  

Application of a Hybrid Genetic Algorithm in Spacecraft Optimal Rendezvous

作　　者：蔡婉花[1] 和兴锁[1] 

机构地区：[1]西北工业大学力学与土木建筑学院,陕西西安710072

出　　处：《飞行力学》2008年第4期77-80,共4页Flight Dynamics

基　　金：国家863计划资助项目(2006AA704304)

摘　　要：推导了航天器双冲量交会时的优化模型,以此为基础构造了最优交会的燃料-时间混合优化指标,并针对基本遗传算法局部搜索能力不强的问题,提出一种将最速下降法与遗传算法相结合的混合遗传算法,其中下降搜索的优化方向利用每一代中最劣个体所包含的优化信息获得。数值计算表明,该混合算法可加速算法的收敛,具有良好的优化性能和函数适应能力。最后,对共面圆轨道双冲量交会情况进行了仿真计算,仿真结果表明混合遗传算法的设计是成功的。The model of rendezvous between two spacecrafts using two impulses is derived. Based on that, the optimal rendezvous index considering fuel and time is constructed, and aiming at the weak local searching ability of a simple genetic algorithm, a hybrid genetic algorithm has been put forwart based on the combination of the steepest decent algorithm and genetic algorithm（ GA）, whose descend direction is obtained by the optimal information that owned by the worst individual in each gap. The numerical calculation shows that the hybrid GA can accelerate the convergence of the algorithm, and has well optimal capability and function adaptive abilities. Finally a simulation of rendezvous between coplanar circular orbits using two impulses is carried out, and the result shows the design of the hybrid genetic algorithm is successful.

关 键 词：交会 最优控制 最速下降法 遗传算法 

分 类 号：V412.4[航空宇航科学与技术—航空宇航推进理论与工程]