Abstract

Optimization of a satellite structure under severe space launching environments is performed considering various design constraints. Simulate annealing, one of combinatorial optimization techniques, is used to optimize the satellite. The optimization results by the simulated annealing are compared to those by the method of modified feasible direction and genetic algorithm. Ten bar truss structure is optimized for feasibility study of the simulated annealing. Finally, the satellite structure is optimized by the simulated annealing algorithm under space environment. Weights of the satellite upper platform and propulsion module are minimized with consideration of several static and dynamic constraints. MSC/NASTRAN is used to find the static and dynamic responses. Simulated annealing has been programmed and integrated with the finite element analysis program for optimization. It is shown that the simulated annealing algorithm can be extended to the optimization of space structures.

주제어

#시뮬레이티드 어닐링   #유전자 알고리즘   #최적화   #인공위성 구조체   #하니콤  

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참고문헌 (12)

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이 논문을 인용한 문헌 (1)

1. Hwang, In-Hyuck ; Noh, Jac-Kyou ; Lee, Kwang-Kook ; Shin, Jon-Gye 2010. "Short-term Scheduling Optimization for Subassembly Line in Ship Production Using Simulated Annealing" 한국시뮬레이션학회논문지 = Journal of the Korea Society for Simulation, 19(1): 73~82  원문보기 상세보기