Title :
Space vehicle orbit transfer optimization based on direct transcription and simulated annealing genetic algorithm
Author_Institution :
Sch. of Aerosp. Eng. & Appl. Mech., Tongji Univ., Shanghai, China
Abstract :
A direct numerical approach for space vehicle trajectory optimization was proposed. The direct transcription with Simpson quadrature was used for discretization of constrained optimal control problem. The genetic algorithm with simulated annealing penalty function was used for global search. The application to space vehicle orbit transfer optimization indicated that this method could improve the sensitive problem of initial guess effectively, attain to the global optimal result and avoid the appearance of ill-conditioned gradient. It is a good reference for the preliminary schematic trajectory design of space vehicle as well.
Keywords :
genetic algorithms; optimal control; simulated annealing; space vehicles; Simpson quadrature; constrained optimal control problem; direct numerical approach; direct transcription; penalty function; simulated annealing genetic algorithm; space vehicle orbit transfer optimization; Application software; Biological system modeling; Biology computing; Biomedical computing; Computer science; Gene expression; Genetic algorithms; Sequences; Simulated annealing; Space vehicles; direct transcription; genetic algorithm; simulated annealing; space vehicle; trajectory optimization;
Conference_Titel :
Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-4754-1
Electronic_ISBN :
978-1-4244-4738-1
DOI :
10.1109/ICICISYS.2009.5357603