TY - GEN
T1 - Optimal launch vehicle configuration from existing solid rocket motors using genetic algorithm
AU - Villanueva, Fredy M.
AU - He, Lin Shu
AU - Xu, Da Jun
PY - 2013
Y1 - 2013
N2 - This paper describes the optimization approach of a three stage solid propellant launch vehicle configuration from existing solid rocket motors (SRM). The optimal launch vehicle (LV) is capable of delivering a small satellite of 100 kg to a circular low earth orbit of 400, 500 and 600 km altitude. The overall LV configuration and the trajectory profile were optimized simultaneously, thus the existing SRM parameters for first, second and three stages, vertical flight time, launch maneuver variable, maximum angle of attack, coasting time between first and second stage and the second coasting time between second and third stages were optimized. A genetic algorithm global optimization method has been implemented to perform the analysis, the algorithm consider mixed integer continuous variables. The results show that the proposed optimization approach was able to find the optimal solution for all three variants with very acceptable values, and the approach proved to be reliable for conceptual design level.
AB - This paper describes the optimization approach of a three stage solid propellant launch vehicle configuration from existing solid rocket motors (SRM). The optimal launch vehicle (LV) is capable of delivering a small satellite of 100 kg to a circular low earth orbit of 400, 500 and 600 km altitude. The overall LV configuration and the trajectory profile were optimized simultaneously, thus the existing SRM parameters for first, second and three stages, vertical flight time, launch maneuver variable, maximum angle of attack, coasting time between first and second stage and the second coasting time between second and third stages were optimized. A genetic algorithm global optimization method has been implemented to perform the analysis, the algorithm consider mixed integer continuous variables. The results show that the proposed optimization approach was able to find the optimal solution for all three variants with very acceptable values, and the approach proved to be reliable for conceptual design level.
KW - Design optimization
KW - Genetic algorithm
KW - Launch vehicle
UR - https://www.scopus.com/pages/publications/84886005579
U2 - 10.4028/www.scientific.net/AMM.422.127
DO - 10.4028/www.scientific.net/AMM.422.127
M3 - 会议稿件
AN - SCOPUS:84886005579
SN - 9783037858851
T3 - Applied Mechanics and Materials
SP - 127
EP - 131
BT - Information Engineering for Mechanics and Materials Research
T2 - International Conference on Information Engineering for Mechanics and Materials, ICIMM 2013
Y2 - 5 July 2013 through 7 July 2013
ER -