January 9, 2018 Journal article Open Access

Bertolazzi, Enrico; Biral, Francesco; Ragni, Matteo

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    <subfield code="a">GTOC 9: Results from University of Trento (team ELFMAN)</subfield>
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    <subfield code="a">&lt;p&gt;The GTOC9 competition requires the design of a sequence of missions to remove debris from the LEO orbit. A mission is a sequence of transfer of the spacecraft from one debris&amp;nbsp;to another. Both missions and transfer must fulfill a set of constraints. The work presents the procedures to develop a solution for the GTOC9 problem (i.e the mission sequence) that does not violate constraints.The solution is obtained through an evolutionary algorithm that combines pre-computed basic missions stored in a database. The main objective of the algorithm is to minimize the overall cost of the solution, in order to maximize the competition&lt;br&gt;
score. The database of pre-computed missions is derived by connecting transfers stored in a database of transfers, through a combinatorial approach that considers the problem constraints. The database of transfer is formulated through&lt;br&gt;
the solution of a constrained minimization problem upon the control action (the magnitude of the overall impulsive velocity changes &lt;span class="math-tex"&gt;\(\Delta\)&lt;/span&gt;V ). Only a subset of all possible transfers (selected on the basis of acceptable &lt;span class="math-tex"&gt;\(\Delta\)&lt;/span&gt; V ), enters in the database.&lt;/p&gt;</subfield>
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