Multiple Space Debris Collecting Mission: Optimal Mission Planning

Max Cerf ()
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Max Cerf: AIRBUS Defence and Space

Journal of Optimization Theory and Applications, 2015, vol. 167, issue 1, No 10, 195-218

Abstract: Abstract Successive missions must be planned to clean the near-Earth space from the heaviest debris. The problem mixes combinatorial optimization to select and order the debris, and continuous optimization to define the orbital maneuvers. In order to reduce the costs all missions have to be achieved by identical expendable vehicles with a minimum fuel requirement. The solution method proposed consists in three stages. Firstly the orbital transfer problem is solved for all pairs of debris and for discretized dates, considering a generic transfer strategy suited either to a high-thrust or to a low-thrust vehicle. The results are stored in cost matrices defining a response surface. Secondly a simulated annealing algorithm is applied to find the optimal mission planning. The cost is assessed by interpolation on the response surface. The convergence is quite fast, yielding an optimal mission planning. Thirdly the successive missions are re-optimized in terms of transfer maneuvers without changing the debris order. These continuous problems yield a refined performance requirement for designing the removal vehicle. The solution method is illustrated on a representative application case.

Keywords: Space debris; Orbital transfer; Simulated annealing; Nonlinear programming; 49N25; 65K99; 70M20; 90C27; 90C35; 90C90; 93C95 (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s10957-015-0705-0

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