Title
Small launch vehicle trajectory profile optimization using hybrid algorithm
Date Issued
27 May 2013
Access level
metadata only access
Resource Type
conference paper
Author(s)
Linshu H.
Rafique A.F.
Rahman T.
Beihang University
Abstract
A hybrid optimization approach combining a genetic algorithm (GA) with sequential quadratic programming (SQP) has been used for optimization of the trajectory profile of a three stage solid propellant small launch vehicle configured from existing solid rocket motors. The selected launch vehicle (LV) is capable of delivering a small satellite of 80 kg to a low earth orbit (LEO) of 660 km altitude. This hybrid optimization approach combines the advantage of GA as a global optimizer and complemented with SQP to find the local optimum. The vertical flight time, launch maneuver variable, maximum angle of attack, coasting time between the first and second stage and the second coasting time between the second and third stage were optimized. It is shown that the proposed hybrid optimization approach was able to find the convergence of the optimal solution with very acceptable values. © 2013 IEEE.
Start page
163
End page
168
Language
English
OCDE Knowledge area
Ingeniería aeroespacial Mecánica aplicada
Scopus EID
2-s2.0-84877980149
Resource of which it is part
Proceedings of 2013 10th International Bhurban Conference on Applied Sciences and Technology, IBCAST 2013
ISBN of the container
978-146734426-5
Conference
2013 10th International Bhurban Conference on Applied Sciences and Technology, IBCAST 2013
Sources of information: Directorio de Producción Científica Scopus