摘要
研究了初始位置、目标位置和转移时间均不固定的双冲量Lambert转移问题,旨在实现燃料和转移时间的综合最优。在对Lambert飞行时间定理推导的基础上,提出了一种遗传算法和迭代法相结合的优化算法,并给出了算法的设计步骤;同时,对影响遗传算法寻优性能的两个参数进行了自适应调整,提高了算法的收敛性。最后,通过两个实例验证了所提算法的有效性和准确性。
The twoimpulse Lambert transfer problem with unfixed initial position, final position and trans fer time was studied in order to optimize combination of the fuel and transfer time. Based on the deriva tion of the Lambert flight time theorem, an optimization algorithm combining genetic algorithm and itera tion method was presented as well as its design process. Meanwhile, two parameters affecting genetic al gorithm performance were adjusted adaptively, which can improve the algorithm＇ s astringency. Lastly, the validity and accuracy of the hybrid genetic algorithm were validated by two examples.
出处
《飞行力学》
CSCD
北大核心
2013年第3期269-272,共4页
Flight Dynamics
关键词
轨道转移
最优化
混合遗传算法
orbital transter
optimization
hybrid genetic algorithm
