In-orbit Servicing and Assisted Orbit Transfer Mission Planning

Giorgio Fasano (), Tommaso Molinari () and Marco Gajeri ()
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Giorgio Fasano: Thales Alenia Space
Tommaso Molinari: Thales Alenia Space
Marco Gajeri: Thales Alenia Space

A chapter in New Trends and Challenges in Optimization Theory Applied to Space Engineering, 2025, pp 81-103 from Springer

Abstract: Abstract In this study, we consider a generic chaser spacecraft capable of reaching any target belonging to a given set of objects located in different sun-synchronous low Earth orbits (LEO). The entire mission must be completed within a given time period. Once launched from Earth, the chaser reaches a set of targets where it provides the required services and finally returns to Earth (or performs a destructive re-entry). Since different sequences and target selections are generally possible, some optimization criteria (such as total economic value) can be considered. The orbit transfer strategy adopted here aims to exploit Earth J2 perturbations in order to achieve considerable propellant savings which can maximize the feasible number of services, enabling the in-orbit servicing LEO market. A number of specific operational conditions are considered. Since the problem is combinatorial in nature, it is approached allying mixed integer linear programming.

Keywords: Space tug; IOS mission optimization; Orbit transfer optimization; LEO orbit transfers; In-orbit maintenance; Satellite lifespan extension; Debris removal; RAAN drift; J₂ perturbation; Mixed integer programming; Global optimization; Heuristics; 2010 Mathematics Subject Classification: 90C11-90C90-90C59 (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:spochp:978-3-031-81253-8_7

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DOI: 10.1007/978-3-031-81253-8_7

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