Publication: Optimization of low thrust shape-based interplanetary trajectories through genetic algorithms
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2019
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2019-10-07
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Abstract
Optimization of low thrust Earth transference orbits suppose a great mathematical and
computational challenge in order to obtain valid results from accurate physical models.
This thesis provides a direct hybrid method to calculate optimal interplanetary trajectories
within the solar system in terms of fuel and time needed. The optimal control problem
will be solved by predefining the shape of the trajectory, which will depend on some parameters
given by the imposed boundary conditions. In order to save computational time
and for the sake of convergence, deterministic an heuristic solvers will be combined. The
former, based on non-linear programming techniques, will handle the imposed restrictions,
namely, the trajectory itself, whereas a non-dominated sorting genetic algorithm will take
care of selecting the most optimal boundary conditions, namely, launch date and time of flight. The results will be studied to determine the effect of the number of revolutions, as
well as diversity, e ciency and convergence of the results driven by the genetic algorithm.
Specifically, it will be applied to Mars and Jupiter transference orbits, emphasizing on the
minimum solutions.
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Keywords
Space industry, Optimal interplanetary trajectories, Genetic algorithm, Orbits