Paper Info
Title
Delta-V Genetic Optimisation Of A Trajectory From Earth To Saturn With Fly-By In Mars
Abstract
The aim of this article is to analyse the results obtained when using a genetic algorithm (GA) to optimise the interplanetary trajectory of a spacecraft. The desired trajectory should visit Saturn, after performing a gravitational assistance or fly-by in planet Mars. The GA tunes a set of variables, in order to achieve the mission purpose while satisfying the constraints and minimizing the delta-V of the mission. Due to the complexity of the implemented models and the lack of analytical solutions, an alternative non-traditional algorithm provided by soft-computing techniques such as GA is necessary to achieve an optimum solution. The positions of planets as provided by Jet Propulsion Laboratory have been considered. A variable mutation rate has been implemented that broadens the search area whenever the population becomes uniform. The results are very useful from the point of view of mission analysis and therefore can be used as an initial guess for further optimizations. They can also be the first step for a more refined analysis and time-consuming simulations based on more complex models of orbital perturbations.
Year
DOI
Venue
2010
10.1109/CEC.2010.5586143
2010 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC)
Keywords
Field
DocType
genetic algorithm,spacecraft,mars,trajectory,earth,satisfiability,genetic algorithms,soft computing,analytic solution,saturn,fuzzy logic,genetics,mutation rate
Population,Mars Exploration Program,Mathematical optimization,Computer science,Jet propulsion,Planet,Interplanetary spaceflight,Trajectory,Genetic algorithm,Spacecraft
Conference
Citations 
PageRank 
References 
0
0.34
0
Authors
2
Name
Order
Citations
PageRank
Fernando Alonso Zotes151.13
Matilde Santos Peñas2255.08