시뮬레이티드 어닐링에 의한 인공위성 구조체 최적화

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 fine 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.