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�������պ����ѧѧ�� 2009, Vol. 35 Issue (12) :1425-1428    DOI:
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1. �������պ����ѧ �ѧԺ, ���� 100191;
2. ����ƹ�������Ժ����, ���� 100074
Multilayer trajectory optimization design for surface-to-air missile based on global sensitivity equation method
Jiang Huan1, Zhou Hao1, Chen Wanchun1, Yang Baokui2*
1. School of Astronautics, Beijing University of Aeronautics and Astronautics, Beijing 100191, China;
2. The Third Academy, China Aerospace Science and Industry Corporation, Beijing 100074, China

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Abstract�� A multilayer approach to the midcourse trajectory design and terminal phase time constants design for a surface-to-air missile to maximize the kill probability was presented. Three layers were discussed. The first layer represented the midcourse trajectory of the missile, the second layer represented the terminal homing phase, and the third layer was the warhead damaging process. A layer can be seen as a subsystem, the multilayer trajectory optimization problem is a essential multidisciplinary design optimization (MDO) problem. The global sensitivity equation (GSE) method was adopted to compute sensitivity derivatives with respect to design variables, which did optimization in system level and got the trajectory which maximizing the kill probability. At last a case of intercepting air-to-surface missile(ASM) was designed and optimized. Uniform design of experiments and BP neural network were used to avoid long time computing. The result is that GSE method is effetive for multilayer trajectory optimization design problem.
Keywords�� sensitivity analysis   multilayer   trajectory   optimization     
Received 2008-11-12;
About author: �� ��(1979-),��,�Ĵ��ɶ���,��ʿ��,jianhuan@buaa.edu.cn.
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�� ��, �� ��, ����, ���.����ȫ�������ȷ��̵Ķ��ε����Ż����[J]  �������պ����ѧѧ��, 2009,V35(12): 1425-1428
Jiang Huan, Zhou Hao, Chen Wanchun, Yang Baokui.Multilayer trajectory optimization design for surface-to-air missile based on global sensitivity equation method[J]  JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2009,V35(12): 1425-1428
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