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�������պ����ѧѧ�� 2010, Vol. 36 Issue (1) :6-9    DOI:
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Optimal Lambert transfer based on guiding artificial immune algorithm
Peng Kun, Xu Shijie, Chen Tong*
School of Astronautics, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

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Abstract�� 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.
Keywords�� Lambert transfer   optimization   artificial immune algorithm   local search strategy     
Received 2009-08-10;
Fund:

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About author: �� ��(1984-),��,����������,��ʿ��,bhkpeng@126.com.
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�� ��, ������, �� ͳ.�����������˹������㷨������Lambert���[J]  �������պ����ѧѧ��, 2010,V36(1): 6-9
Peng Kun, Xu Shijie, Chen Tong.Optimal Lambert transfer based on guiding artificial immune algorithm[J]  JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2010,V36(1): 6-9
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