The optimization with cost function of fuel consumption minimum for Lambert two-impulse transfer was studied. Firstly, the universal variables method was modified to avoid singularity, and it was used to solve the Lambert two-impulse transfer problem. Then for the rendezvous problem with only orbit elements fixed of a chase spacecraft and a target spacecraft in initial time, the concept of phase time was introduced under the restriction of the total time. Both the phase time and transfer time were considered as variables to be optimized in the Lambert transfer. Finally, a guiding artificial immune algorithm (GAIA) was applied to solve this optimization problem. Simulation results show that, compared with adaptive genetic algorithm (AGA), GAIA has stronger search capacity and quicker search speed, which validates the effectiveness of GAIA for the optimal Lambert transfer.
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����,л��ΰ.�ռ佻���ж�ȦLambert����㷨�о�[J].�й��ռ��ѧ����,2004,24(5): 9-14 Han Chao,Xie Huawei.Research on algorithm of loopy Lambert transfer in space rendezvous[J].Chinese Space Science and Technology,2004,24(5): 9-14(in Chinese)
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¬ɽ,��ͳ,������.��������Ӧģ���˻��Ŵ��㷨������Lambertת��[J].�������պ����ѧѧ��,2007,33(10):1191-1195 Lu Shan,Chen Tong,Xu Shijie.Optimal Lambert transfer based on adaptive simulated annealing genetic algorithm[J].Journal of Beijing University of Aeronautics and Astronautics,2007,33(10): 1191-1195(in Chinese)
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����.�˹������Ż��㷨����Ӧ���о� .������: ��������ҵ��ѧ�������̼��Զ���ѧԺ�Զ������������ϵ,2006 Sun Ning.Artificial immune optimization algorithm and applications .Harbin: Department of Automatic Test and Control,School of Electrical Engineering and Automation,Harbin Institute of Technology,2006(in Chinese)