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�������պ����ѧѧ�� 2005, Vol. 31 Issue (05) :574-577    DOI:
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����1, ���һ�1, ����2*
1. �������պ����ѧ ���ù���ѧԺ, ���� 100083;
2. ������ҵ��ѧ ���칤��ѧԺ, ���� 710072
Dual-objective optimization design for cost and performance of a solid rocket motor
Yang Qing1, Qiu Wanhua1, Wang Liang2*
1. School of Economics and Management, Beijing University of Aeronautics and Astronautics, Beijing 100083, China;
2. College of Astronautics, Northwestern Polytechnical University, Xi'an 710072, China

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Abstract�� To solve the problem of multiple attributes value optimization in the upper stage solid propellant rocket engines of a launch vehicle, parameter-cost models of motor parts were established and an improved pareto genetic algorithms(IPGA) that combines the NSGA-�� with local search algorithm was presented. Simulation test shows that the convergence of IPGA is better than that of NSGA-��. Setting the maximum terminal speed increment of the rocket motor and its manufacture cost as objective functions, Pareto optimal sets were obtained by using IPGA which motor case materials are APMOC and carbon respectively. Adapting the deal point method, an inflexion point of cost- effect ratio in Pareto optimal setswas gained. Setting this point as trade-off solution, the calculation results show that the effective load of the launch vehicle was increased by 7.6% and cost of the motor was decreased.
Keywords�� solid propellant rocket engines   mutiple objective programming   genetic algorithm   value optimization     
Received 2004-01-02;
Fund:

������Ȼ��ѧ����������Ŀ(70372011); ���ջ���������Ŀ(20030006009)

About author: �� ��(1968-),��,����������,��ʿ��, yqbuaa@sina.com.
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����, ���һ�, ����.�������������ɱ�������˫Ŀ���Ż����[J]  �������պ����ѧѧ��, 2005,V31(05): 574-577
Yang Qing, Qiu Wanhua, Wang Liang.Dual-objective optimization design for cost and performance of a solid rocket motor[J]  JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2005,V31(05): 574-577
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